id	sid	tid	token	lemma	pos
work_fljh2g733fa2fnxmkvwa4p3kby	1	1	Beyond	beyond	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	1	3	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	1	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	1	5	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	1	6	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	1	7	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	8	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	1	9	improve	improve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	1	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	1	11	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	13	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	1	14	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	15	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	16	Beyond	beyond	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	1	18	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	1	19	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	1	20	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	1	21	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	1	22	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	23	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	1	24	improve	improve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	1	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	1	26	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	28	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	1	29	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	30	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	1	31	Noura	Noura	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	32	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	33	Moubayed1	Moubayed1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	34	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	35	Stephen	Stephen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	36	McGough2	McGough2	:
work_fljh2g733fa2fnxmkvwa4p3kby	1	37	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	1	38	Bashar	Bashar	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	39	Awwad	Awwad	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	40	Shiekh	Shiekh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	41	Hasan3	Hasan3	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	42	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	1	43	Department	Department	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	44	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	45	Computer	Computer	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	46	Science	Science	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	47	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	48	Durham	Durham	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	49	University	University	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	50	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	51	Durham	Durham	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	52	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	53	UK	UK	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	54	2	2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	1	55	Department	Department	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	56	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	57	Computer	Computer	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	58	Science	Science	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	59	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	60	University	University	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	61	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	62	Newcastle	Newcastle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	63	upon	upon	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	64	Tyne	Tyne	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	65	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	66	Newcastle	Newcastle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	67	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	68	UK	UK	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	69	3	3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	1	70	Caspian	Caspian	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	71	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	72	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	73	Newcastle	Newcastle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	74	upon	upon	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	75	Tyne	Tyne	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	76	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	77	Newcastle	Newcastle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	78	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	1	79	UK	UK	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	80	ABSTRACT	ABSTRACT	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	1	81	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	1	82	article	article	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	83	presents	present	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	1	84	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	1	85	discriminative	discriminative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	1	86	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	87	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	1	88	complement	complement	VB
work_fljh2g733fa2fnxmkvwa4p3kby	1	89	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	1	90	unsupervised	unsupervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	1	91	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	1	92	nature	nature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	93	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	1	94	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	95	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	1	96	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	2	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	2	2	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	2	3	transforms	transform	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	2	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	2	5	probabilities	probability	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	2	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	2	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	2	8	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	2	9	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	2	10	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	2	11	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	2	12	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	2	13	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	2	14	dependent	dependent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	2	15	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	2	16	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	2	17	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	2	18	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	2	19	extract	extract	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	2	20	highly	highly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	2	21	discriminatory	discriminatory	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	2	22	features	feature	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	2	23	suitable	suitable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	2	24	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	2	25	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	2	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	3	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	3	2	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	3	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	3	4	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	3	5	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	3	6	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	3	7	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	3	8	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	3	9	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	3	10	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	3	11	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	3	12	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	3	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	4	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	4	2	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	3	transforms	transform	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	4	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	4	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	6	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	7	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	8	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	4	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	4	10	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	4	12	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	13	domain	domain	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	14	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	4	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	4	16	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	4	17	domain	domain	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	18	making	make	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	4	19	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	4	20	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	4	21	robust	robust	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	4	22	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	4	23	noise	noise	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	24	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	4	25	incorporating	incorporate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	4	26	complex	complex	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	4	27	contextual	contextual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	4	28	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	4	29	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	4	30	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	4	31	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	4	32	represented	represent	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	4	33	otherwise	otherwise	RB
work_fljh2g733fa2fnxmkvwa4p3kby	4	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	5	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	5	2	stacked	stack	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	5	3	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	5	4	autoencoder	autoencoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	5	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	5	6	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	5	7	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	5	8	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	5	9	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	5	10	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	5	11	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	5	12	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	5	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	5	14	complex	complex	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	5	15	relationship	relationship	NN
work_fljh2g733fa2fnxmkvwa4p3kby	5	16	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	5	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	5	18	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	5	19	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	5	20	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	5	21	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	5	22	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	5	23	assumptions	assumption	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	5	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	6	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	6	2	achieve	achieve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	6	3	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	6	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	6	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	6	6	distinct	distinct	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	6	7	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	6	8	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	6	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	6	10	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	6	11	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	6	12	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	6	13	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	6	14	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	6	15	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	6	16	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	6	17	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	6	18	additional	additional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	6	19	decision	decision	NN
work_fljh2g733fa2fnxmkvwa4p3kby	6	20	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	6	21	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	6	22	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	6	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	7	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	7	2	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	7	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	7	4	tested	test	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	7	5	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	7	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	7	7	comprehensive	comprehensive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	7	8	collection	collection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	7	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	7	10	benchmark	benchmark	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	7	11	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	7	12	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	7	13	vary	vary	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	7	14	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	7	15	sample	sample	NN
work_fljh2g733fa2fnxmkvwa4p3kby	7	16	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	7	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	7	18	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	7	19	bias	bias	NN
work_fljh2g733fa2fnxmkvwa4p3kby	7	20	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	7	21	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	7	22	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	7	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	8	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	8	2	significant	significant	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	8	3	improvement	improvement	NN
work_fljh2g733fa2fnxmkvwa4p3kby	8	4	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	8	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	8	6	state	state	NN
work_fljh2g733fa2fnxmkvwa4p3kby	8	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	8	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	8	9	art	art	NN
work_fljh2g733fa2fnxmkvwa4p3kby	8	10	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	8	11	achieved	achieve	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	8	12	without	without	IN
work_fljh2g733fa2fnxmkvwa4p3kby	8	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	8	14	need	need	NN
work_fljh2g733fa2fnxmkvwa4p3kby	8	15	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	8	16	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	8	17	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	8	18	lexica	lexica	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	8	19	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	8	20	over	over	RB
work_fljh2g733fa2fnxmkvwa4p3kby	8	21	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	8	22	engineered	engineer	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	8	23	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	8	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	9	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	9	2	further	further	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	9	3	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	9	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	9	5	carried	carry	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	9	6	out	out	RP
work_fljh2g733fa2fnxmkvwa4p3kby	9	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	9	8	explain	explain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	9	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	9	10	observed	observed	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	9	11	improvement	improvement	NN
work_fljh2g733fa2fnxmkvwa4p3kby	9	12	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	9	13	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	9	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	10	1	Subjects	Subjects	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	2	Artificial	Artificial	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	3	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	10	5	Data	Data	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	10	6	Mining	Mining	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	7	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	10	8	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	9	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	10	11	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	12	Science	Science	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	10	14	Natural	Natural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	15	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	16	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	10	17	Speech	Speech	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	18	Keywords	Keywords	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	19	Topic	Topic	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	20	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	10	21	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	10	22	Stacked	stack	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	10	23	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	10	24	autoencoders	autoencoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	10	25	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	10	26	Text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	10	27	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	10	28	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	10	29	Sentiment	Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	10	30	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	10	31	INTRODUCTION	introduction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	10	32	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	10	33	rise	rise	NN
work_fljh2g733fa2fnxmkvwa4p3kby	10	34	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	10	35	social	social	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	10	36	media	medium	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	10	37	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	10	38	online	online	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	10	39	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	10	40	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	10	41	resulted	result	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	10	42	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	10	43	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	10	44	exponential	exponential	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	10	45	increase	increase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	10	46	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	10	47	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	10	48	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	10	49	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	10	50	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	11	1	Facebook	Facebook	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	11	2	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	11	3	over	over	IN
work_fljh2g733fa2fnxmkvwa4p3kby	11	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	11	5	billion	billion	CD
work_fljh2g733fa2fnxmkvwa4p3kby	11	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	11	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	11	8	half	half	NN
work_fljh2g733fa2fnxmkvwa4p3kby	11	9	active	active	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	11	10	users	user	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	11	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	11	12	month	month	NN
work_fljh2g733fa2fnxmkvwa4p3kby	11	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	11	14	Smith	Smith	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	11	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	11	16	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	11	17	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	11	18	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	11	19	billions	billion	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	11	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	11	21	comments	comment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	11	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	11	23	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	11	24	social	social	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	11	25	reactions	reaction	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	11	26	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	11	27	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	11	28	form	form	NN
work_fljh2g733fa2fnxmkvwa4p3kby	11	29	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	11	30	like	like	UH
work_fljh2g733fa2fnxmkvwa4p3kby	11	31	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	11	32	love	love	NN
work_fljh2g733fa2fnxmkvwa4p3kby	11	33	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	11	34	etc	etc	FW
work_fljh2g733fa2fnxmkvwa4p3kby	11	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	11	36	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	11	37	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	12	1	Twitter	Twitter	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	12	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	12	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	12	4	largest	large	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	12	5	micro	micro	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	12	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	12	7	blogging	blogge	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	12	8	website	website	NN
work_fljh2g733fa2fnxmkvwa4p3kby	12	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	12	10	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	12	11	313	313	CD
work_fljh2g733fa2fnxmkvwa4p3kby	12	12	millions	million	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	12	13	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	12	14	users	user	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	12	15	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	12	16	Clement	Clement	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	12	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	12	18	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	12	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	12	20	writing	write	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	12	21	500	500	CD
work_fljh2g733fa2fnxmkvwa4p3kby	12	22	million	million	CD
work_fljh2g733fa2fnxmkvwa4p3kby	12	23	tweets	tweet	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	12	24	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	12	25	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	12	26	daily	daily	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	12	27	basis	basis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	12	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	13	1	Customer	customer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	13	2	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	13	3	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	13	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	13	5	standard	standard	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	13	6	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	13	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	13	8	almost	almost	RB
work_fljh2g733fa2fnxmkvwa4p3kby	13	9	every	every	DT
work_fljh2g733fa2fnxmkvwa4p3kby	13	10	online	online	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	13	11	purchasing	purchasing	NN
work_fljh2g733fa2fnxmkvwa4p3kby	13	12	service	service	NN
work_fljh2g733fa2fnxmkvwa4p3kby	13	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	13	14	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	14	1	Amazon	Amazon	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	14	2	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	14	3	Expedia	Expedia	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	14	4	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	14	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	15	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	15	2	vast	vast	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	15	3	wealth	wealth	NN
work_fljh2g733fa2fnxmkvwa4p3kby	15	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	15	5	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	15	6	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	15	7	raising	raise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	15	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	15	9	need	need	NN
work_fljh2g733fa2fnxmkvwa4p3kby	15	10	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	15	11	sophisticated	sophisticated	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	15	12	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	15	13	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	15	14	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	15	15	better	well	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	15	16	understand	understand	VB
work_fljh2g733fa2fnxmkvwa4p3kby	15	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	15	18	exploit	exploit	VB
work_fljh2g733fa2fnxmkvwa4p3kby	15	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	15	20	knowledge	knowledge	NN
work_fljh2g733fa2fnxmkvwa4p3kby	15	21	hidden	hide	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	15	22	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	15	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	15	24	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	15	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	16	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	16	2	successful	successful	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	16	3	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	16	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	16	5	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	16	6	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	16	7	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	16	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	16	9	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	16	10	follows	follow	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	16	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	16	12	hierarchal	hierarchal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	16	13	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	16	14	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	16	15	methodology	methodology	NN
work_fljh2g733fa2fnxmkvwa4p3kby	16	16	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	16	17	unravel	unravel	VB
work_fljh2g733fa2fnxmkvwa4p3kby	16	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	16	19	underlying	underlie	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	16	20	patterns	pattern	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	16	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	16	22	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	16	23	embedded	embed	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	16	24	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	16	25	large	large	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	16	26	collections	collection	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	16	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	16	28	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	16	29	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	16	30	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	16	31	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	16	32	Carin	Carin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	16	33	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	16	34	Dunson	Dunson	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	16	35	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	16	36	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	16	37	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	16	38	Hofmann	Hofmann	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	16	39	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	16	40	1999	1999	CD
work_fljh2g733fa2fnxmkvwa4p3kby	16	41	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	16	42	Canini	Canini	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	16	43	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	16	44	Shi	Shi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	16	45	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	16	46	Griffiths	Griffiths	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	16	47	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	16	48	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	16	49	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	16	50	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	17	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	17	2	discovery	discovery	NN
work_fljh2g733fa2fnxmkvwa4p3kby	17	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	17	4	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	17	5	patterns	pattern	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	17	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	17	7	known	know	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	17	8	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	17	9	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	17	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	17	11	opens	open	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	17	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	17	13	doors	door	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	17	14	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	17	15	How	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	17	16	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	17	17	cite	cite	VB
work_fljh2g733fa2fnxmkvwa4p3kby	17	18	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	17	19	article	article	NN
work_fljh2g733fa2fnxmkvwa4p3kby	17	20	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	17	21	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	17	22	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	17	23	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	17	24	McGough	McGough	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	17	25	S	S	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	17	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	17	27	Awwad	Awwad	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	17	28	Shiekh	Shiekh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	17	29	Hasan	Hasan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	17	30	B.	B.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	18	1	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	18	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	19	1	Beyond	beyond	IN
work_fljh2g733fa2fnxmkvwa4p3kby	19	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	19	3	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	19	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	19	5	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	19	6	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	19	7	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	19	8	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	19	9	improve	improve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	19	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	19	11	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	19	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	19	13	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	19	14	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	19	15	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	19	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	20	1	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	20	2	Comput	comput	NN
work_fljh2g733fa2fnxmkvwa4p3kby	20	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	21	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	21	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	22	1	6	6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	22	3	e252	e252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	22	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	22	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	10	Submitted	submit	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	22	11	3	3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	12	April	April	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	13	2018	2018	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	14	Accepted	accept	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	22	15	23	23	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	16	December	December	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	17	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	18	Published	publish	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	22	19	27	27	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	20	January	January	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	21	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	22	Corresponding	Corresponding	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	23	author	author	NN
work_fljh2g733fa2fnxmkvwa4p3kby	22	24	Noura	Noura	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	25	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	26	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	27	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	22	28	noura.al-moubayed@durham.ac.uk	noura.al-moubayed@durham.ac.uk	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	29	Academic	academic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	22	30	editor	editor	NN
work_fljh2g733fa2fnxmkvwa4p3kby	22	31	Sebastian	Sebastian	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	32	Ventura	Ventura	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	33	Additional	Additional	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	34	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	35	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	22	36	Declarations	declaration	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	22	37	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	22	38	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	22	39	found	find	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	22	40	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	22	41	page	page	NN
work_fljh2g733fa2fnxmkvwa4p3kby	22	42	27	27	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	43	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	44	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	45	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	22	46	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	47	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	22	48	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	49	©	©	RB
work_fljh2g733fa2fnxmkvwa4p3kby	22	50	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	22	51	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	52	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	53	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	54	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	22	55	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	23	1	Distributed	distribute	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	23	2	under	under	IN
work_fljh2g733fa2fnxmkvwa4p3kby	23	3	Creative	Creative	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	4	Commons	Commons	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	5	CC	CC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	23	7	BY	BY	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	8	4.0	4.0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	23	9	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	23	10	mailto	mailto	NN
work_fljh2g733fa2fnxmkvwa4p3kby	23	11	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	23	12	noura.	noura.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	13	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	14	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	15	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	23	16	moubayed@	moubayed@	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	17	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	18	durham.	durham.	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	23	19	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	20	ac.	ac.	NN
work_fljh2g733fa2fnxmkvwa4p3kby	23	21	�	�	,
work_fljh2g733fa2fnxmkvwa4p3kby	23	22	uk	uk	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	23	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	24	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	25	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	23	26	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	FW
work_fljh2g733fa2fnxmkvwa4p3kby	23	27	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	XX
work_fljh2g733fa2fnxmkvwa4p3kby	23	28	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	23	29	deeper	deep	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	23	30	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	23	31	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	23	32	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	23	33	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	23	34	including	include	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	23	35	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	23	36	clustering	cluster	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	23	37	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	23	38	sorting	sorting	NN
work_fljh2g733fa2fnxmkvwa4p3kby	23	39	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	23	40	summarisation	summarisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	23	41	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	23	42	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	23	43	prediction	prediction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	23	44	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	23	45	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	46	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	23	47	Carin	Carin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	48	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	23	49	Dunson	Dunson	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	23	50	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	23	51	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	23	52	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	23	53	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	24	1	Latent	Latent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	24	2	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	24	3	Allocation	Allocation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	24	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	24	5	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	24	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	24	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	24	8	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	24	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	24	10	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	24	11	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	24	12	Jordan	Jordan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	24	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	24	14	2003	2003	CD
work_fljh2g733fa2fnxmkvwa4p3kby	24	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	24	16	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	24	17	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	24	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	24	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	24	20	most	most	RBS
work_fljh2g733fa2fnxmkvwa4p3kby	24	21	commonly	commonly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	24	22	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	24	23	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	24	24	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	24	25	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	24	26	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	24	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	25	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	25	2	decomposes	decompose	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	25	3	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	25	4	collection	collection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	25	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	25	6	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	25	7	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	25	8	its	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	25	9	salient	salient	NN
work_fljh2g733fa2fnxmkvwa4p3kby	25	10	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	25	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	26	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	26	2	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	26	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	26	4	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	26	5	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	26	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	26	7	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	26	8	distribution	distribution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	26	9	over	over	IN
work_fljh2g733fa2fnxmkvwa4p3kby	26	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	26	11	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	26	12	’	’	POS
work_fljh2g733fa2fnxmkvwa4p3kby	26	13	vocabulary	vocabulary	NN
work_fljh2g733fa2fnxmkvwa4p3kby	26	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	27	1	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	27	2	assumes	assume	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	27	3	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	27	4	fixed	fixed	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	27	5	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	27	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	27	7	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	27	8	set	set	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	27	9	apriori	apriori	NN
work_fljh2g733fa2fnxmkvwa4p3kby	27	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	27	11	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	27	12	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	27	13	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	27	14	may	may	MD
work_fljh2g733fa2fnxmkvwa4p3kby	27	15	contain	contain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	27	16	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	27	17	combination	combination	NN
work_fljh2g733fa2fnxmkvwa4p3kby	27	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	27	19	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	27	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	28	1	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	28	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	28	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	28	4	its	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	28	5	variants	variant	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	28	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	28	7	Teh	Teh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	28	8	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	28	9	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	28	10	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	28	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	28	12	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	28	13	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	28	14	Porteous	Porteous	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	28	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	28	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	28	17	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	28	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	28	19	2008	2008	CD
work_fljh2g733fa2fnxmkvwa4p3kby	28	20	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	28	21	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	28	22	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	28	23	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	28	24	completely	completely	RB
work_fljh2g733fa2fnxmkvwa4p3kby	28	25	unsupervised	unsupervise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	28	26	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	28	27	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	28	28	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	28	29	few	few	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	28	30	prior	prior	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	28	31	assumptions	assumption	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	28	32	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	28	33	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	28	34	led	lead	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	28	35	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	28	36	its	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	28	37	popularity	popularity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	28	38	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	28	39	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	28	40	summarisation	summarisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	28	41	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	28	42	clustering	clustering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	28	43	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	28	44	large	large	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	28	45	unstructured	unstructured	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	28	46	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	28	47	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	29	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	29	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	29	3	when	when	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	29	4	labelled	label	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	29	5	data	data	NN
work_fljh2g733fa2fnxmkvwa4p3kby	29	6	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	29	7	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	29	8	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	29	9	would	would	MD
work_fljh2g733fa2fnxmkvwa4p3kby	29	10	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	29	11	beneficial	beneficial	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	29	12	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	29	13	include	include	VB
work_fljh2g733fa2fnxmkvwa4p3kby	29	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	29	15	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	29	16	label	label	NN
work_fljh2g733fa2fnxmkvwa4p3kby	29	17	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	29	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	29	19	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	29	20	itself	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	29	21	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	29	22	demonstrated	demonstrate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	29	23	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	29	24	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	29	25	Mcauliffe	Mcauliffe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	26	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	29	27	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	28	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	29	29	2008	2008	CD
work_fljh2g733fa2fnxmkvwa4p3kby	29	30	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	29	31	Perotte	Perotte	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	32	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	33	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	34	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	35	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	29	36	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	29	37	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	29	38	Huh	Huh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	39	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	29	40	Fienberg	Fienberg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	41	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	29	42	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	29	43	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	29	44	Zhu	Zhu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	45	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	29	46	Ahmed	Ahmed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	47	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	29	48	Xing	Xing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	29	49	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	29	50	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	29	51	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	29	52	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	30	1	Latent	Latent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	30	2	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	30	3	Allocation	Allocation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	30	4	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	30	5	customised	customise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	30	6	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	30	7	accommodate	accommodate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	30	8	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	30	9	application	application	NN
work_fljh2g733fa2fnxmkvwa4p3kby	30	10	area	area	NN
work_fljh2g733fa2fnxmkvwa4p3kby	30	11	like	like	IN
work_fljh2g733fa2fnxmkvwa4p3kby	30	12	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	30	13	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	30	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	31	1	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	31	2	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	31	3	tries	try	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	31	4	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	31	5	understand	understand	VB
work_fljh2g733fa2fnxmkvwa4p3kby	31	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	31	7	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	31	8	behind	behind	IN
work_fljh2g733fa2fnxmkvwa4p3kby	31	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	31	10	written	write	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	31	11	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	31	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	31	13	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	31	14	example	example	NN
work_fljh2g733fa2fnxmkvwa4p3kby	31	15	product	product	NN
work_fljh2g733fa2fnxmkvwa4p3kby	31	16	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	31	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	32	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	32	2	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	32	3	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	32	4	drawn	draw	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	32	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	32	6	lot	lot	NN
work_fljh2g733fa2fnxmkvwa4p3kby	32	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	32	8	attention	attention	NN
work_fljh2g733fa2fnxmkvwa4p3kby	32	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	32	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	32	11	last	last	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	32	12	few	few	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	32	13	years	year	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	32	14	given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	32	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	32	16	social	social	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	32	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	32	18	commercial	commercial	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	32	19	impact	impact	NN
work_fljh2g733fa2fnxmkvwa4p3kby	32	20	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	32	21	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	32	22	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	32	23	Bradley	Bradley	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	24	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	32	25	Lang	Lang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	32	27	1999	1999	CD
work_fljh2g733fa2fnxmkvwa4p3kby	32	28	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	32	29	Bravo	Bravo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	30	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	32	31	Marquez	Marquez	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	32	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	32	33	Mendoza	Mendoza	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	34	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	32	35	Poblete	Poblete	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	36	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	32	37	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	32	38	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	32	39	Go	go	VB
work_fljh2g733fa2fnxmkvwa4p3kby	32	40	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	32	41	Bhayani	Bhayani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	42	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	32	43	Huang	Huang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	44	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	32	45	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	32	46	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	32	47	Liu	Liu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	32	48	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	32	49	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	32	50	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	32	51	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	33	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	33	2	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	33	3	highly	highly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	33	4	competitive	competitive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	33	5	online	online	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	33	6	market	market	NN
work_fljh2g733fa2fnxmkvwa4p3kby	33	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	33	8	deeper	deep	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	33	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	33	10	understanding	understanding	NN
work_fljh2g733fa2fnxmkvwa4p3kby	33	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	33	12	customer	customer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	33	13	views	view	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	33	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	33	15	attitudes	attitude	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	33	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	33	17	further	further	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	33	18	advantage	advantage	NN
work_fljh2g733fa2fnxmkvwa4p3kby	33	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	33	20	business	business	NN
work_fljh2g733fa2fnxmkvwa4p3kby	33	21	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	33	22	have	have	VB
work_fljh2g733fa2fnxmkvwa4p3kby	33	23	against	against	IN
work_fljh2g733fa2fnxmkvwa4p3kby	33	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	33	25	competition	competition	NN
work_fljh2g733fa2fnxmkvwa4p3kby	33	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	34	1	Jo	Jo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	34	2	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	34	3	Oh	Oh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	34	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	34	5	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	34	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	34	7	extended	extend	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	34	8	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	34	9	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	34	10	include	include	VB
work_fljh2g733fa2fnxmkvwa4p3kby	34	11	sentence	sentence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	34	12	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	34	13	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	34	14	aspect	aspect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	34	15	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	34	16	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	34	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	35	1	Mei	Mei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	35	2	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	35	3	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	35	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	36	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	36	2	2007	2007	CD
work_fljh2g733fa2fnxmkvwa4p3kby	36	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	36	4	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	36	5	Lin	Lin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	36	6	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	36	7	He	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	36	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	36	9	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	36	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	36	11	explicitly	explicitly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	36	12	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	36	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	36	14	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	36	15	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	36	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	36	17	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	36	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	36	19	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	36	20	train	train	VB
work_fljh2g733fa2fnxmkvwa4p3kby	36	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	36	22	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	36	23	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	36	24	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	36	25	unsupervised	unsupervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	36	26	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	36	27	similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	36	28	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	36	29	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	36	30	standard	standard	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	36	31	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	36	32	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	37	1	Topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	37	2	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	37	3	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	37	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	37	5	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	37	6	reduces	reduce	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	37	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	37	8	need	need	NN
work_fljh2g733fa2fnxmkvwa4p3kby	37	9	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	37	10	hand	hand	NN
work_fljh2g733fa2fnxmkvwa4p3kby	37	11	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	37	12	crafted	craft	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	37	13	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	37	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	37	15	especially	especially	RB
work_fljh2g733fa2fnxmkvwa4p3kby	37	16	annotated	annotate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	37	17	corpora	corpora	NN
work_fljh2g733fa2fnxmkvwa4p3kby	37	18	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	37	19	Bradley	Bradley	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	37	20	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	37	21	Lang	Lang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	37	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	37	23	1999	1999	CD
work_fljh2g733fa2fnxmkvwa4p3kby	37	24	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	37	25	Cambria	Cambria	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	37	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	37	27	Havasi	Havasi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	37	28	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	37	29	Hussain	Hussain	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	37	30	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	37	31	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	37	32	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	37	33	Esuli	Esuli	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	37	34	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	37	35	Sebastiani	Sebastiani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	37	36	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	37	37	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	37	38	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	37	39	Nielsen	Nielsen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	37	40	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	37	41	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	37	42	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	37	43	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	38	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	38	2	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	38	3	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	38	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	38	5	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	38	6	take	take	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	38	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	38	8	novel	novel	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	38	9	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	38	10	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	38	11	expand	expand	VB
work_fljh2g733fa2fnxmkvwa4p3kby	38	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	38	13	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	38	14	power	power	NN
work_fljh2g733fa2fnxmkvwa4p3kby	38	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	38	16	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	38	17	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	38	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	38	19	supervised	supervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	38	20	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	38	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	39	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	39	2	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	39	3	builds	build	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	39	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	39	5	separate	separate	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	39	6	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	39	7	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	39	8	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	39	9	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	39	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	40	1	Each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	40	2	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	40	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	40	4	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	40	5	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	40	6	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	40	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	40	8	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	40	9	extractor	extractor	NN
work_fljh2g733fa2fnxmkvwa4p3kby	40	10	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	40	11	train	train	VB
work_fljh2g733fa2fnxmkvwa4p3kby	40	12	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	40	13	Stacked	stack	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	40	14	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	40	15	autoencoder	autoencoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	40	16	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	40	17	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	40	18	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	40	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	41	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	41	2	trained	trained	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	41	3	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	41	4	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	41	5	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	41	6	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	41	7	generate	generate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	41	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	41	9	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	41	10	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	41	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	41	12	simple	simple	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	41	13	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	41	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	42	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	42	2	added	added	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	42	3	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	42	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	42	5	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	42	6	help	help	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	42	7	further	further	RB
work_fljh2g733fa2fnxmkvwa4p3kby	42	8	increase	increase	VB
work_fljh2g733fa2fnxmkvwa4p3kby	42	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	42	10	disrciminability	disrciminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	42	11	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	42	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	42	13	classes	class	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	42	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	42	15	hence	hence	RB
work_fljh2g733fa2fnxmkvwa4p3kby	42	16	achieve	achieve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	42	17	higher	high	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	42	18	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	42	19	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	42	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	43	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	43	2	introduced	introduce	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	43	3	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	43	4	addresses	address	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	43	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	43	6	following	follow	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	43	7	points	point	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	43	8	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	43	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	43	10	I	i	NN
work_fljh2g733fa2fnxmkvwa4p3kby	43	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	43	12	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	43	13	avoids	avoid	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	43	14	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	43	15	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	43	16	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	43	17	lexicon	lexicon	NN
work_fljh2g733fa2fnxmkvwa4p3kby	43	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	43	19	directly	directly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	43	20	engineered	engineer	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	43	21	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	43	22	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	43	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	43	24	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	43	25	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	43	26	sentence	sentence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	43	27	level	level	NN
work_fljh2g733fa2fnxmkvwa4p3kby	43	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	44	1	Instead	instead	RB
work_fljh2g733fa2fnxmkvwa4p3kby	44	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	44	3	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	44	4	focus	focus	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	44	5	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	44	6	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	44	7	higher	high	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	44	8	level	level	NN
work_fljh2g733fa2fnxmkvwa4p3kby	44	9	abstract	abstract	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	44	10	concepts	concept	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	44	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	44	12	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	44	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	45	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	45	2	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	45	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	45	4	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	45	5	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	45	6	learns	learn	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	45	7	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	45	8	hierarchical	hierarchical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	45	9	structure	structure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	45	10	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	45	11	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	45	12	better	well	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	45	13	understand	understand	VB
work_fljh2g733fa2fnxmkvwa4p3kby	45	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	45	15	inter	inter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	45	16	-	-	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	45	17	dependencies	dependency	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	45	18	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	45	19	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	45	20	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	45	21	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	45	22	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	45	23	convey	convey	VB
work_fljh2g733fa2fnxmkvwa4p3kby	45	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	45	25	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	45	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	46	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	46	2	III	III	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	46	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	46	4	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	46	5	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	46	6	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	46	7	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	46	8	general	general	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	46	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	46	10	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	46	11	easily	easily	RB
work_fljh2g733fa2fnxmkvwa4p3kby	46	12	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	46	13	adapted	adapt	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	46	14	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	46	15	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	46	16	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	46	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	46	18	data	data	NN
work_fljh2g733fa2fnxmkvwa4p3kby	46	19	sets	set	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	46	20	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	46	21	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	46	22	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	46	23	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	46	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	47	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	47	2	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	47	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	47	4	motivated	motivate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	47	5	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	47	6	three	three	CD
work_fljh2g733fa2fnxmkvwa4p3kby	47	7	key	key	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	47	8	points	point	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	47	9	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	47	10	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	47	11	Context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	47	12	embedding	embedding	NN
work_fljh2g733fa2fnxmkvwa4p3kby	47	13	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	47	14	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	47	15	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	47	16	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	47	17	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	47	18	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	47	19	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	47	20	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	47	21	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	47	22	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	48	1	Latent	Latent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	48	2	Dirichilet	Dirichilet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	48	3	Allocation	Allocation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	48	4	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	48	5	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	48	6	highly	highly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	48	7	advantageous	advantageous	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	48	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	48	9	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	48	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	48	11	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	48	12	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	48	13	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	48	14	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	48	15	may	may	MD
work_fljh2g733fa2fnxmkvwa4p3kby	48	16	appear	appear	VB
work_fljh2g733fa2fnxmkvwa4p3kby	48	17	given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	48	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	48	19	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	48	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	49	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	49	2	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	49	3	transfers	transfer	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	49	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	49	5	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	6	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	7	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	49	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	49	9	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	49	10	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	49	12	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	49	13	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	49	14	engineered	engineer	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	49	15	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	16	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	17	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	49	18	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	49	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	49	20	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	49	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	49	22	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	23	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	24	making	make	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	49	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	49	26	whole	whole	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	49	27	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	28	much	much	RB
work_fljh2g733fa2fnxmkvwa4p3kby	49	29	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	49	30	robust	robust	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	49	31	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	49	32	noise	noise	NN
work_fljh2g733fa2fnxmkvwa4p3kby	49	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	50	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	50	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	50	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	50	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	50	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	51	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	51	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	51	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	51	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	51	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	51	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	51	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	52	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	52	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	52	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	52	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	52	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	52	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	52	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	52	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	52	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	52	10	2/32	2/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	52	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	52	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	52	13	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	52	14	Structural	structural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	52	15	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	52	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	52	17	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	52	18	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	52	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	52	20	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	52	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	52	22	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	52	23	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	52	24	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	52	25	hierarchal	hierarchal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	52	26	structure	structure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	52	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	52	28	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	52	29	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	52	30	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	52	31	captures	capture	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	52	32	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	52	33	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	52	34	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	52	35	assumptions	assumption	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	52	36	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	52	37	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	52	38	structural	structural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	52	39	inter	inter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	52	40	-	-	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	52	41	dependencies	dependency	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	52	42	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	52	43	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	52	44	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	52	45	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	52	46	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	52	47	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	52	48	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	52	49	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	52	50	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	52	51	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	53	1	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	53	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	53	3	subjectivity	subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	53	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	53	5	etc	etc	FW
work_fljh2g733fa2fnxmkvwa4p3kby	53	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	53	7	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	53	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	54	1	�	�	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	54	2	Simplified	simplified	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	54	3	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	54	5	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	54	6	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	54	7	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	54	8	show	show	VB
work_fljh2g733fa2fnxmkvwa4p3kby	54	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	54	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	54	11	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	54	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	54	13	experiments	experiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	54	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	54	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	54	16	combined	combine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	54	17	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	54	19	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	20	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	21	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	54	22	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	23	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	54	24	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	54	25	novel	novel	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	54	26	utilisation	utilisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	54	28	reconstruction	reconstruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	29	error	error	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	30	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	54	31	RE	RE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	54	32	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	54	33	results	result	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	54	34	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	54	35	highly	highly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	54	36	separable	separable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	54	37	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	38	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	39	requiring	require	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	54	40	only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	54	41	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	54	42	simple	simple	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	54	43	linear	linear	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	44	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	54	45	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	55	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	55	2	main	main	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	55	3	contributions	contribution	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	55	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	55	5	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	55	6	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	55	7	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	55	8	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	55	9	�	�	``
work_fljh2g733fa2fnxmkvwa4p3kby	55	10	Develop	develop	VB
work_fljh2g733fa2fnxmkvwa4p3kby	55	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	55	12	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	55	13	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	55	14	automatic	automatic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	55	15	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	55	16	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	55	17	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	55	18	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	55	19	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	55	20	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	55	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	56	1	�	�	:
work_fljh2g733fa2fnxmkvwa4p3kby	56	2	Expand	Expand	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	56	3	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	56	4	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	56	5	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	56	6	introducing	introduce	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	56	7	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	56	8	additional	additional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	56	9	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	56	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	56	11	abstraction	abstraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	56	12	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	56	13	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	56	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	56	15	inter	inter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	56	16	-	-	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	56	17	relations	relation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	56	18	amongst	amongst	IN
work_fljh2g733fa2fnxmkvwa4p3kby	56	19	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	56	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	56	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	56	22	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	56	23	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	56	24	category	category	NN
work_fljh2g733fa2fnxmkvwa4p3kby	56	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	57	1	�	�	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	57	2	Introduce	introduce	VB
work_fljh2g733fa2fnxmkvwa4p3kby	57	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	57	4	RE	re	NN
work_fljh2g733fa2fnxmkvwa4p3kby	57	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	57	6	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	57	7	auto	auto	NN
work_fljh2g733fa2fnxmkvwa4p3kby	57	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	57	9	encoder	encoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	57	10	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	57	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	57	12	surrogate	surrogate	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	57	13	measure	measure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	57	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	57	15	sample	sample	NN
work_fljh2g733fa2fnxmkvwa4p3kby	57	16	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	57	17	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	57	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	57	19	auto	auto	NN
work_fljh2g733fa2fnxmkvwa4p3kby	57	20	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	57	21	encoder	encoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	57	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	58	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	58	2	REs	re	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	58	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	58	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	58	5	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	58	6	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	58	7	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	58	8	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	58	9	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	58	10	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	58	11	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	58	12	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	58	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	59	1	�	�	:
work_fljh2g733fa2fnxmkvwa4p3kby	59	2	Discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	59	3	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	59	4	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	59	5	explain	explain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	59	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	59	7	benefit	benefit	NN
work_fljh2g733fa2fnxmkvwa4p3kby	59	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	59	9	SDAs	SDAs	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	59	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	59	11	RE	RE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	59	12	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	59	13	enhancing	enhance	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	59	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	59	15	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	59	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	59	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	59	18	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	59	19	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	59	20	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	59	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	60	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	60	2	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	60	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	60	4	tested	test	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	60	5	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	60	6	ten	ten	CD
work_fljh2g733fa2fnxmkvwa4p3kby	60	7	benchmark	benchmark	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	60	8	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	60	9	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	60	10	vary	vary	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	60	11	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	60	12	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	60	13	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	60	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	60	15	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	60	16	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	60	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	60	18	domain	domain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	60	19	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	60	20	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	60	21	significantly	significantly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	60	22	outperforming	outperform	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	60	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	60	24	state	state	NN
work_fljh2g733fa2fnxmkvwa4p3kby	60	25	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	60	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	60	27	art	art	NN
work_fljh2g733fa2fnxmkvwa4p3kby	60	28	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	60	29	8/10	8/10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	60	30	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	60	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	60	32	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	60	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	61	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	61	2	next	next	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	61	3	section	section	NN
work_fljh2g733fa2fnxmkvwa4p3kby	61	4	reviews	review	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	61	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	61	6	related	related	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	61	7	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	61	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	61	9	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	61	10	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	61	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	62	1	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	62	2	Methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	62	3	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	62	4	details	detail	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	62	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	62	6	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	62	7	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	62	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	62	9	followed	follow	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	62	10	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	62	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	62	12	description	description	NN
work_fljh2g733fa2fnxmkvwa4p3kby	62	13	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	62	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	62	15	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	62	16	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	62	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	62	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	62	19	experimental	experimental	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	62	20	design	design	NN
work_fljh2g733fa2fnxmkvwa4p3kby	62	21	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	62	22	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	62	23	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	62	24	Sets	Sets	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	62	25	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	62	26	Experiments	Experiments	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	62	27	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	62	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	63	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	63	2	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	63	3	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	63	4	reported	report	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	63	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	63	6	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	63	7	Results	Results	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	63	8	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	63	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	63	10	while	while	IN
work_fljh2g733fa2fnxmkvwa4p3kby	63	11	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	63	12	Discussion	Discussion	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	63	13	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	63	14	further	far	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	63	15	examines	examine	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	63	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	63	17	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	63	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	63	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	63	20	achieved	achieve	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	63	21	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	63	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	63	23	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	63	24	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	63	25	Conclusion	conclusion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	63	26	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	63	27	summarizes	summarize	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	63	28	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	63	29	article	article	NN
work_fljh2g733fa2fnxmkvwa4p3kby	63	30	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	64	1	RELATED	related	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	64	2	WORK	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	64	3	Text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	64	4	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	64	5	problems	problem	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	64	6	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	64	7	usually	usually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	64	8	viewed	view	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	64	9	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	64	10	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	64	11	tier	tier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	64	12	problems	problem	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	64	13	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	64	14	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	64	15	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	64	16	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	64	17	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	64	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	65	1	Reviewing	review	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	65	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	65	3	state	state	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	65	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	65	6	art	art	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	7	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	65	8	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	9	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	10	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	65	11	beyond	beyond	IN
work_fljh2g733fa2fnxmkvwa4p3kby	65	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	65	13	scope	scope	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	65	15	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	65	16	paper	paper	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	65	18	however	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	65	19	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	65	20	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	65	21	take	take	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	65	22	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	23	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	24	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	65	25	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	65	26	application	application	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	27	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	65	28	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	65	29	briefly	briefly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	65	30	review	review	VB
work_fljh2g733fa2fnxmkvwa4p3kby	65	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	65	32	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	33	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	65	34	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	65	35	application	application	NN
work_fljh2g733fa2fnxmkvwa4p3kby	65	36	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	66	1	Feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	2	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	3	/	/	,
work_fljh2g733fa2fnxmkvwa4p3kby	66	4	engineering	engineer	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	66	5	Early	early	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	66	6	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	7	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	66	8	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	9	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	10	approached	approach	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	66	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	66	12	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	13	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	66	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	66	15	traditional	traditional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	66	16	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	17	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	66	18	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	66	19	categorisation	categorisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	20	point	point	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	66	22	view	view	NN
work_fljh2g733fa2fnxmkvwa4p3kby	66	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	67	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	67	2	involved	involved	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	67	3	standard	standard	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	67	4	natural	natural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	67	5	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	67	6	processing	processing	NN
work_fljh2g733fa2fnxmkvwa4p3kby	67	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	8	NLP	NLP	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	9	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	10	techniques	technique	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	67	11	such	such	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	67	12	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	67	13	bag	bag	NN
work_fljh2g733fa2fnxmkvwa4p3kby	67	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	67	15	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	67	16	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	17	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	19	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	20	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	67	21	Vaithyanathan	Vaithyanathan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	23	2002	2002	CD
work_fljh2g733fa2fnxmkvwa4p3kby	67	24	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	25	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	26	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	67	27	vectors	vector	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	67	28	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	29	Maas	Maas	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	30	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	67	31	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	32	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	33	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	34	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	67	35	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	67	36	Pouransari	Pouransari	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	37	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	67	38	Ghili	Ghili	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	39	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	40	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	67	41	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	42	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	43	n	n	NN
work_fljh2g733fa2fnxmkvwa4p3kby	67	44	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	67	45	grams	gram	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	67	46	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	47	Nguyen	Nguyen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	48	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	49	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	50	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	51	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	52	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	67	53	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	54	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	55	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	67	56	rule	rule	NN
work_fljh2g733fa2fnxmkvwa4p3kby	67	57	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	67	58	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	67	59	classifiers	classifier	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	67	60	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	61	Riloff	Riloff	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	62	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	63	Wiebe	Wiebe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	64	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	67	65	Phillips	Phillips	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	67	66	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	67	67	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	67	68	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	67	69	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	68	1	Despite	despite	IN
work_fljh2g733fa2fnxmkvwa4p3kby	68	2	their	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	68	3	initial	initial	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	68	4	success	success	NN
work_fljh2g733fa2fnxmkvwa4p3kby	68	5	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	68	6	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	68	7	performed	perform	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	68	8	worse	bad	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	68	9	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	68	10	expected	expect	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	68	11	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	68	12	comparison	comparison	NN
work_fljh2g733fa2fnxmkvwa4p3kby	68	13	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	68	14	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	68	15	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	68	16	categorisation	categorisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	68	17	problems	problem	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	68	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	68	19	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	68	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	68	21	approaches	approach	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	68	22	taken	take	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	68	23	were	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	68	24	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	68	25	designed	design	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	68	26	specifically	specifically	RB
work_fljh2g733fa2fnxmkvwa4p3kby	68	27	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	68	28	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	68	29	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	68	30	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	69	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	69	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	69	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	69	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	69	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	70	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	70	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	70	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	70	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	70	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	70	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	70	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	71	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	71	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	71	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	71	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	71	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	71	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	71	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	71	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	71	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	71	10	3/32	3/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	71	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	71	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	:
work_fljh2g733fa2fnxmkvwa4p3kby	71	13	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	71	14	incorporate	incorporate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	71	15	prior	prior	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	71	16	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	71	17	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	71	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	71	19	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	71	20	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	71	21	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	71	22	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	71	23	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	71	24	resource	resource	NN
work_fljh2g733fa2fnxmkvwa4p3kby	71	25	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	71	26	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	71	27	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	71	28	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	71	29	needed	need	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	71	30	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	71	31	assign	assign	VB
work_fljh2g733fa2fnxmkvwa4p3kby	71	32	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	71	33	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	71	34	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	71	35	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	72	1	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	72	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	72	3	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	72	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	72	5	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	72	6	neutral	neutral	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	72	7	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	72	8	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	72	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	72	10	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	72	11	independent	independent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	72	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	72	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	72	14	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	72	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	73	1	Wilson	Wilson	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	73	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	73	3	Wiebe	Wiebe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	73	4	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	73	5	Hoffmann	Hoffmann	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	73	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	73	7	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	73	8	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	73	9	built	build	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	73	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	73	11	Opinion	Opinion	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	73	12	Finder	Finder	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	73	13	lexicon	lexicon	NN
work_fljh2g733fa2fnxmkvwa4p3kby	73	14	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	73	15	individual	individual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	73	16	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	73	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	73	18	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	73	19	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	73	20	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	73	21	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	73	22	define	define	VB
work_fljh2g733fa2fnxmkvwa4p3kby	73	23	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	73	24	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	73	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	73	26	level	level	NN
work_fljh2g733fa2fnxmkvwa4p3kby	73	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	73	28	phrases	phrase	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	73	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	74	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	74	2	similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	74	3	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	74	4	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	74	5	taken	take	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	74	6	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	74	7	Zirn	Zirn	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	74	8	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	74	9	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	74	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	75	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	75	2	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	75	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	75	4	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	75	5	uses	use	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	75	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	75	7	sophisticated	sophisticated	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	75	8	Markov	Markov	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	75	9	chain	chain	NN
work_fljh2g733fa2fnxmkvwa4p3kby	75	10	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	75	11	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	75	12	predict	predict	VB
work_fljh2g733fa2fnxmkvwa4p3kby	75	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	75	14	contextual	contextual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	75	15	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	75	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	75	17	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	75	18	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	75	19	phrases	phrase	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	75	20	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	75	21	short	short	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	75	22	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	75	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	76	1	Another	another	DT
work_fljh2g733fa2fnxmkvwa4p3kby	76	2	commonly	commonly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	76	3	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	76	4	lexicon	lexicon	NN
work_fljh2g733fa2fnxmkvwa4p3kby	76	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	76	6	English	english	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	76	7	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	76	8	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	76	9	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	76	10	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	76	11	Bradley	Bradley	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	76	12	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	76	13	Lang	Lang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	76	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	76	15	1999	1999	CD
work_fljh2g733fa2fnxmkvwa4p3kby	76	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	76	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	76	18	later	later	RB
work_fljh2g733fa2fnxmkvwa4p3kby	76	19	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	76	20	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	76	21	twitter	twitter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	76	22	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	76	23	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	76	24	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	76	25	Nielsen	Nielsen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	76	26	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	76	27	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	76	28	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	76	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	77	1	Other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	77	2	well	well	RB
work_fljh2g733fa2fnxmkvwa4p3kby	77	3	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	77	4	known	know	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	77	5	lexicons	lexicon	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	77	6	include	include	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	77	7	SentiStrength	SentiStrength	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	77	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	77	9	Thelwall	Thelwall	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	77	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	77	11	Buckley	Buckley	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	77	12	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	77	13	Paltoglou	Paltoglou	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	77	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	77	15	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	77	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	77	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	77	18	NRC	NRC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	77	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	77	20	Mohammad	Mohammad	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	77	21	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	77	22	Turney	Turney	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	77	23	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	77	24	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	77	25	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	77	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	78	1	For	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	78	2	more	more	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	78	3	discussion	discussion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	78	4	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	78	5	comparisons	comparison	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	78	6	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	78	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	78	8	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	78	9	resources	resource	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	78	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	78	11	interested	interested	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	78	12	reader	reader	NN
work_fljh2g733fa2fnxmkvwa4p3kby	78	13	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	78	14	referred	refer	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	78	15	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	78	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	78	17	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	78	18	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	78	19	Bravo	Bravo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	78	20	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	78	21	Marquez	Marquez	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	78	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	78	23	Mendoza	Mendoza	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	78	24	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	78	25	Poblete	Poblete	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	78	26	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	78	27	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	78	28	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	78	29	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	78	30	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	78	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	78	32	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	78	33	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	78	34	combined	combine	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	78	35	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	78	36	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	78	37	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	78	38	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	78	39	resources	resource	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	78	40	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	78	41	enhance	enhance	VB
work_fljh2g733fa2fnxmkvwa4p3kby	78	42	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	78	43	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	78	44	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	78	45	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	78	46	overall	overall	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	78	47	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	78	48	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	79	1	An	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	79	2	appraisal	appraisal	NN
work_fljh2g733fa2fnxmkvwa4p3kby	79	3	group	group	NN
work_fljh2g733fa2fnxmkvwa4p3kby	79	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	79	5	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	79	6	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	79	7	developed	develop	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	79	8	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	79	9	Whitelaw	Whitelaw	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	79	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	79	11	Garg	Garg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	79	12	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	79	13	Argamon	Argamon	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	79	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	79	15	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	79	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	79	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	79	18	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	79	19	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	79	20	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	79	21	produce	produce	VB
work_fljh2g733fa2fnxmkvwa4p3kby	79	22	bag	bag	NN
work_fljh2g733fa2fnxmkvwa4p3kby	79	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	79	24	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	79	25	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	79	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	80	1	Based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	80	2	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	80	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	80	4	psychological	psychological	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	80	5	definition	definition	NN
work_fljh2g733fa2fnxmkvwa4p3kby	80	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	80	7	emotional	emotional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	80	8	states	state	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	80	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	80	10	Mohammad	Mohammad	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	80	11	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	80	12	Turney	Turney	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	80	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	80	14	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	80	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	80	16	labelled	label	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	80	17	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	80	18	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	80	19	bank	bank	NN
work_fljh2g733fa2fnxmkvwa4p3kby	80	20	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	80	21	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	80	22	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	80	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	81	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	81	2	establish	establish	VB
work_fljh2g733fa2fnxmkvwa4p3kby	81	3	more	more	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	81	4	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	81	5	aware	aware	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	81	6	features	feature	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	81	7	Kennedy	Kennedy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	81	8	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	81	9	Inkpen	Inkpen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	81	10	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	81	11	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	81	12	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	81	13	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	81	14	contextual	contextual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	81	15	valence	valence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	81	16	shifters	shifter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	81	17	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	81	18	rank	rank	VB
work_fljh2g733fa2fnxmkvwa4p3kby	81	19	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	81	20	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	81	21	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	81	22	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	81	23	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	81	24	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	81	25	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	81	26	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	81	27	fed	feed	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	81	28	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	81	29	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	81	30	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	81	31	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	82	1	Nguyen	Nguyen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	82	2	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	82	3	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	82	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	83	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	83	2	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	83	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	83	4	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	83	5	ratings	rating	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	83	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	83	7	labelled	label	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	83	8	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	83	9	predicted	predict	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	83	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	83	11	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	83	12	enhance	enhance	VB
work_fljh2g733fa2fnxmkvwa4p3kby	83	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	83	14	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	83	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	83	16	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	83	17	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	83	18	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	83	19	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	83	20	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	83	21	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	83	22	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	83	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	84	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	84	2	sophisticated	sophisticated	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	84	3	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	84	4	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	84	5	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	84	6	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	84	7	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	84	8	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	84	9	twitter	twitt	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	84	10	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	84	11	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	84	12	Agarwal	Agarwal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	84	13	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	84	14	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	84	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	85	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	85	2	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	85	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	85	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	86	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	86	2	starts	start	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	86	3	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	86	4	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	86	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	86	6	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	86	7	dictionary	dictionary	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	86	8	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	86	9	assign	assign	VB
work_fljh2g733fa2fnxmkvwa4p3kby	86	10	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	86	11	prior	prior	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	86	12	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	86	13	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	86	14	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	86	15	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	86	16	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	86	17	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	86	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	86	19	tree	tree	NN
work_fljh2g733fa2fnxmkvwa4p3kby	86	20	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	86	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	86	22	tweets	tweet	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	86	23	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	86	24	designed	design	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	86	25	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	86	26	combine	combine	VB
work_fljh2g733fa2fnxmkvwa4p3kby	86	27	many	many	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	86	28	categories	category	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	86	29	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	86	30	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	86	31	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	86	32	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	86	33	structure	structure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	86	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	87	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	87	2	convolution	convolution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	87	3	kernel	kernel	NN
work_fljh2g733fa2fnxmkvwa4p3kby	87	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	87	5	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	87	6	employed	employ	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	87	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	87	8	compare	compare	VB
work_fljh2g733fa2fnxmkvwa4p3kby	87	9	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	87	10	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	87	11	trees	tree	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	87	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	88	1	Tang	Tang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	88	2	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	88	3	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	88	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	89	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	89	2	2014b	2014b	LS
work_fljh2g733fa2fnxmkvwa4p3kby	89	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	89	4	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	89	5	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	89	6	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	89	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	89	8	learn	learn	VB
work_fljh2g733fa2fnxmkvwa4p3kby	89	9	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	89	10	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	89	11	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	89	12	embedding	embed	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	89	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	89	14	SSWE	SSWE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	89	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	89	16	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	89	17	transform	transform	VB
work_fljh2g733fa2fnxmkvwa4p3kby	89	18	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	89	19	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	89	20	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	89	21	continuous	continuous	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	89	22	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	89	23	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	89	24	takes	take	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	89	25	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	89	26	account	account	NN
work_fljh2g733fa2fnxmkvwa4p3kby	89	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	89	28	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	89	29	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	89	30	syntactic	syntactic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	89	31	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	89	32	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	89	33	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	89	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	90	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	90	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	90	3	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	90	5	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	6	retrieval	retrieval	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	90	8	Eguchi	Eguchi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	90	9	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	90	10	Lavrenko	Lavrenko	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	90	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	90	12	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	90	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	90	14	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	90	15	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	90	16	generative	generative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	90	17	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	90	18	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	19	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	90	20	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	21	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	22	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	90	23	order	order	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	24	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	90	25	retrieve	retrieve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	90	26	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	90	27	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	90	28	certain	certain	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	90	29	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	30	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	90	31	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	90	32	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	91	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	91	2	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	91	3	extends	extend	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	91	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	91	5	definition	definition	NN
work_fljh2g733fa2fnxmkvwa4p3kby	91	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	91	7	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	91	8	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	91	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	91	10	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	91	11	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	91	12	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	91	13	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	91	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	92	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	92	2	user	user	NN
work_fljh2g733fa2fnxmkvwa4p3kby	92	3	would	would	MD
work_fljh2g733fa2fnxmkvwa4p3kby	92	4	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	92	5	request	request	VB
work_fljh2g733fa2fnxmkvwa4p3kby	92	6	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	92	7	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	92	8	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	92	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	92	10	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	92	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	93	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	93	2	topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	93	3	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	93	4	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	93	5	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	93	6	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	93	7	proposed	propose	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	93	8	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	93	9	Mei	Mei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	93	10	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	93	11	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	93	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	94	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	94	2	2007	2007	CD
work_fljh2g733fa2fnxmkvwa4p3kby	94	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	94	4	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	94	5	builds	build	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	94	6	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	94	7	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	94	8	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	94	9	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	94	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	94	11	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	94	12	opinions	opinion	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	94	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	94	14	extract	extract	VB
work_fljh2g733fa2fnxmkvwa4p3kby	94	15	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	94	16	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	94	17	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	94	18	their	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	94	19	relevant	relevant	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	94	20	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	94	21	coverage	coverage	NN
work_fljh2g733fa2fnxmkvwa4p3kby	94	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	95	1	Similarly	similarly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	95	2	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	95	3	joint	joint	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	95	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	95	5	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	95	6	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	95	7	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	95	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	95	9	JST	JST	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	95	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	95	11	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	95	12	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	95	13	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	95	14	Lin	Lin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	95	15	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	95	16	He	He	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	95	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	95	18	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	95	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	95	20	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	95	21	extends	extend	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	95	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	95	23	well	well	RB
work_fljh2g733fa2fnxmkvwa4p3kby	95	24	known	know	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	95	25	unsupervised	unsupervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	95	26	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	95	27	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	95	28	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	95	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	96	1	JST	JST	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	96	2	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	96	3	further	further	RB
work_fljh2g733fa2fnxmkvwa4p3kby	96	4	extended	extend	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	96	5	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	96	6	Jo	Jo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	96	7	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	96	8	Oh	Oh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	96	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	96	10	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	96	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	96	12	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	96	13	handle	handle	VB
work_fljh2g733fa2fnxmkvwa4p3kby	96	14	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	96	15	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	96	16	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	96	17	languages	language	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	96	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	97	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	97	2	advantage	advantage	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	97	4	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	5	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	97	7	general	general	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	97	8	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	97	9	that	that	DT
work_fljh2g733fa2fnxmkvwa4p3kby	97	10	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	97	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	97	12	I	i	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	97	14	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	97	15	allows	allow	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	97	16	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	97	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	97	18	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	97	20	useful	useful	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	97	21	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	22	without	without	IN
work_fljh2g733fa2fnxmkvwa4p3kby	97	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	97	24	need	need	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	25	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	97	26	significant	significant	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	97	27	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	28	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	97	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	98	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	98	2	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	98	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	98	4	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	98	5	dimensionality	dimensionality	NN
work_fljh2g733fa2fnxmkvwa4p3kby	98	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	98	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	98	8	resulting	result	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	98	9	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	98	10	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	98	11	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	98	12	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	98	13	set	set	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	98	14	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	98	15	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	98	16	priori	priori	FW
work_fljh2g733fa2fnxmkvwa4p3kby	98	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	98	18	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	98	19	usually	usually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	98	20	much	much	RB
work_fljh2g733fa2fnxmkvwa4p3kby	98	21	smaller	small	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	98	22	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	98	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	98	24	sparse	sparse	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	98	25	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	98	26	vectors	vector	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	98	27	resulted	result	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	98	28	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	98	29	bag	bag	NN
work_fljh2g733fa2fnxmkvwa4p3kby	98	30	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	98	31	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	98	32	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	98	33	n	n	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	98	34	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	98	35	grams	gram	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	98	36	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	99	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	99	2	III	III	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	99	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	99	4	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	99	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	99	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	99	7	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	99	8	Bayesian	bayesian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	99	9	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	99	10	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	99	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	99	12	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	99	13	adaptive	adaptive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	99	14	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	99	15	definition	definition	NN
work_fljh2g733fa2fnxmkvwa4p3kby	99	16	providing	provide	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	99	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	99	18	overall	overall	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	99	19	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	99	20	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	99	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	99	22	ability	ability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	99	23	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	99	24	handle	handle	VB
work_fljh2g733fa2fnxmkvwa4p3kby	99	25	streams	stream	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	99	26	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	99	27	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	99	28	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	99	29	efficiently	efficiently	RB
work_fljh2g733fa2fnxmkvwa4p3kby	99	30	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	100	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	100	2	IV	IV	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	100	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	100	4	transforming	transform	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	100	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	100	6	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	100	7	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	100	8	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	100	9	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	100	10	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	100	11	makes	make	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	100	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	100	13	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	100	14	less	less	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	100	15	sensitive	sensitive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	100	16	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	100	17	noise	noise	VB
work_fljh2g733fa2fnxmkvwa4p3kby	100	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	101	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	101	2	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	101	3	Methods	Methods	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	101	4	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	101	5	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	101	6	present	present	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	101	7	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	101	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	101	9	its	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	101	10	original	original	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	101	11	form	form	NN
work_fljh2g733fa2fnxmkvwa4p3kby	101	12	before	before	IN
work_fljh2g733fa2fnxmkvwa4p3kby	101	13	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	101	14	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	101	15	later	later	RB
work_fljh2g733fa2fnxmkvwa4p3kby	101	16	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	101	17	extract	extract	VB
work_fljh2g733fa2fnxmkvwa4p3kby	101	18	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	101	19	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	101	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	101	21	without	without	IN
work_fljh2g733fa2fnxmkvwa4p3kby	101	22	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	101	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	101	24	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	101	25	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	101	26	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	101	27	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	101	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	102	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	102	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	102	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	102	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	102	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	102	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	102	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	103	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	103	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	103	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	103	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	103	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	103	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	103	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	103	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	103	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	103	10	4/32	4/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	103	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	103	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	103	13	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	103	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	103	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	104	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	104	2	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	104	3	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	104	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	104	5	carried	carry	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	104	6	out	out	RP
work_fljh2g733fa2fnxmkvwa4p3kby	104	7	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	104	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	104	9	later	later	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	104	10	stage	stage	NN
work_fljh2g733fa2fnxmkvwa4p3kby	104	11	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	104	12	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	104	13	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	104	14	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	104	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	105	1	Classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	105	2	Following	follow	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	105	3	topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	105	4	categorisation	categorisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	105	5	problems	problem	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	105	6	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	105	7	machine	machine	NN
work_fljh2g733fa2fnxmkvwa4p3kby	105	8	learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	105	9	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	105	10	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	105	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	105	12	mostly	mostly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	105	13	supervised	supervise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	105	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	105	15	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	105	16	commonly	commonly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	105	17	employed	employ	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	105	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	106	1	Maximum	Maximum	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	106	2	Entropy	Entropy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	106	3	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	106	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	106	5	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	106	6	measures	measure	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	106	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	106	8	amount	amount	NN
work_fljh2g733fa2fnxmkvwa4p3kby	106	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	106	10	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	106	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	106	12	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	106	13	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	106	14	‘	'	``
work_fljh2g733fa2fnxmkvwa4p3kby	106	15	tell	tell	VB
work_fljh2g733fa2fnxmkvwa4p3kby	106	16	’	'	''
work_fljh2g733fa2fnxmkvwa4p3kby	106	17	about	about	IN
work_fljh2g733fa2fnxmkvwa4p3kby	106	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	106	19	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	106	20	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	106	21	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	106	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	106	23	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	106	24	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	106	25	repeatedly	repeatedly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	106	26	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	106	27	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	106	28	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	106	29	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	106	30	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	106	31	Vaithyanathan	Vaithyanathan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	106	32	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	106	33	2002	2002	CD
work_fljh2g733fa2fnxmkvwa4p3kby	106	34	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	106	35	Saif	Saif	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	106	36	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	106	37	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	106	38	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	106	39	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	106	40	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	106	41	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	106	42	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	107	1	Naive	naive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	107	2	Bayes	Bayes	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	107	3	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	107	4	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	107	5	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	107	6	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	107	7	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	107	8	Wu	Wu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	107	9	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	107	10	Pao	Pao	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	107	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	107	12	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	107	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	107	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	108	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	108	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	108	3	Support	Support	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	4	Vector	Vector	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	5	Machines	Machines	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	108	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	108	7	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	8	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	108	9	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	108	10	arguably	arguably	RB
work_fljh2g733fa2fnxmkvwa4p3kby	108	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	108	12	most	most	RBS
work_fljh2g733fa2fnxmkvwa4p3kby	108	13	widely	widely	RB
work_fljh2g733fa2fnxmkvwa4p3kby	108	14	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	108	15	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	108	16	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	108	17	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	108	18	prediction	prediction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	108	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	108	20	Agarwal	Agarwal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	21	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	22	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	23	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	108	25	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	108	26	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	108	27	Bravo	Bravo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	28	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	108	29	Marquez	Marquez	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	30	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	108	31	Mendoza	Mendoza	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	32	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	108	33	Poblete	Poblete	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	34	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	108	35	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	108	36	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	108	37	Nguyen	Nguyen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	38	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	39	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	40	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	41	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	108	42	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	108	43	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	108	44	Wu	Wu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	45	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	108	46	Pao	Pao	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	108	47	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	108	48	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	108	49	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	108	50	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	109	1	More	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	109	2	recently	recently	RB
work_fljh2g733fa2fnxmkvwa4p3kby	109	3	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	109	4	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	109	5	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	109	6	have	have	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	109	7	been	be	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	109	8	adopted	adopt	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	109	9	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	109	10	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	109	11	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	109	12	after	after	IN
work_fljh2g733fa2fnxmkvwa4p3kby	109	13	their	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	109	14	impressive	impressive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	109	15	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	109	16	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	109	17	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	109	18	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	109	19	under	under	IN
work_fljh2g733fa2fnxmkvwa4p3kby	109	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	109	21	umbrella	umbrella	NN
work_fljh2g733fa2fnxmkvwa4p3kby	109	22	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	109	23	NLP	NLP	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	109	24	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	109	25	Collobert	Collobert	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	109	26	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	109	27	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	109	28	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	109	29	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	109	30	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	109	31	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	109	32	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	110	1	Pouransari	Pouransari	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	110	2	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	110	3	Ghili	Ghili	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	110	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	110	5	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	110	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	110	7	utilised	utilise	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	110	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	110	9	recursive	recursive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	110	10	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	110	11	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	110	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	110	13	RNN	RNN	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	110	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	110	15	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	110	16	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	110	17	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	110	18	only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	110	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	110	20	individual	individual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	110	21	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	110	22	but	but	CC
work_fljh2g733fa2fnxmkvwa4p3kby	110	23	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	110	24	they	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	110	25	appear	appear	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	110	26	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	110	27	relationship	relationship	NN
work_fljh2g733fa2fnxmkvwa4p3kby	110	28	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	110	29	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	110	30	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	110	31	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	110	32	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	110	33	phrase	phrase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	110	34	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	110	35	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	110	36	given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	110	37	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	110	38	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	111	1	RNN	RNN	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	111	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	111	3	commonly	commonly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	111	4	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	111	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	111	6	NLP	NLP	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	111	7	due	due	IN
work_fljh2g733fa2fnxmkvwa4p3kby	111	8	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	111	9	their	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	111	10	ability	ability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	111	11	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	111	12	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	111	13	such	such	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	111	14	structures	structure	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	111	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	112	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	112	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	112	3	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	112	4	represent	represent	VB
work_fljh2g733fa2fnxmkvwa4p3kby	112	5	complex	complex	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	112	6	relationships	relationship	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	112	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	112	8	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	113	1	negated	negate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	113	2	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	113	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	113	4	Socher	Socher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	113	5	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	113	6	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	113	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	114	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	114	2	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	114	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	114	4	presented	present	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	114	5	recursive	recursive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	114	6	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	114	7	tensor	tensor	NN
work_fljh2g733fa2fnxmkvwa4p3kby	114	8	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	114	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	115	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	115	2	combined	combine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	115	3	RNN	RNN	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	115	4	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	115	5	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	115	6	takes	take	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	115	7	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	115	8	account	account	NN
work_fljh2g733fa2fnxmkvwa4p3kby	115	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	115	10	aspect	aspect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	115	11	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	115	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	115	13	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	115	14	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	115	15	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	115	16	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	115	17	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	115	18	Lakkaraju	Lakkaraju	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	115	19	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	115	20	Socher	Socher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	115	21	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	115	22	Manning	Manning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	115	23	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	115	24	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	115	25	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	115	26	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	115	27	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	115	28	hierarchical	hierarchical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	115	29	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	115	30	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	115	31	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	115	32	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	116	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	116	2	dynamic	dynamic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	116	3	convolutional	convolutional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	116	4	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	116	5	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	116	6	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	116	7	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	116	8	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	116	9	Kalchbrenner	Kalchbrenner	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	116	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	116	11	Grefenstette	Grefenstette	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	116	12	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	116	13	Blunsom	Blunsom	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	116	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	116	15	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	116	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	116	17	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	116	18	handle	handle	VB
work_fljh2g733fa2fnxmkvwa4p3kby	116	19	input	input	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	116	20	sentences	sentence	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	116	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	116	22	varying	varying	NN
work_fljh2g733fa2fnxmkvwa4p3kby	116	23	length	length	NN
work_fljh2g733fa2fnxmkvwa4p3kby	116	24	capturing	capture	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	116	25	short	short	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	116	26	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	116	27	long	long	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	116	28	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	116	29	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	116	30	relations	relation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	116	31	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	116	32	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	116	33	could	could	MD
work_fljh2g733fa2fnxmkvwa4p3kby	116	34	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	116	35	particularly	particularly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	116	36	important	important	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	116	37	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	116	38	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	116	39	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	116	40	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	117	1	Tang	Tang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	117	2	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	117	3	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	117	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	118	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	118	2	2014a	2014a	LS
work_fljh2g733fa2fnxmkvwa4p3kby	118	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	118	4	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	118	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	118	6	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	118	7	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	118	8	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	118	9	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	118	10	SSWE	SSWE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	118	11	but	but	CC
work_fljh2g733fa2fnxmkvwa4p3kby	118	12	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	118	13	added	add	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	118	14	convolutional	convolutional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	118	15	layers	layer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	118	16	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	118	17	category	category	NN
work_fljh2g733fa2fnxmkvwa4p3kby	118	18	prediction	prediction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	118	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	119	1	Wu	Wu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	119	2	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	119	3	Pao	Pao	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	119	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	119	5	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	119	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	119	7	built	build	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	119	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	119	9	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	119	10	feed	feed	NN
work_fljh2g733fa2fnxmkvwa4p3kby	119	11	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	119	12	forward	forward	RB
work_fljh2g733fa2fnxmkvwa4p3kby	119	13	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	119	14	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	119	15	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	119	16	extract	extract	VB
work_fljh2g733fa2fnxmkvwa4p3kby	119	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	119	18	classify	classify	VB
work_fljh2g733fa2fnxmkvwa4p3kby	119	19	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	119	20	level	level	NN
work_fljh2g733fa2fnxmkvwa4p3kby	119	21	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	119	22	obtained	obtain	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	119	23	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	119	24	n	n	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	119	25	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	119	26	grams	gram	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	119	27	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	119	28	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	119	29	aim	aim	NN
work_fljh2g733fa2fnxmkvwa4p3kby	119	30	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	119	31	reducing	reduce	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	119	32	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	119	33	complexity	complexity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	119	34	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	119	35	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	119	36	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	119	37	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	120	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	120	2	brief	brief	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	120	3	review	review	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	4	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	120	5	comparison	comparison	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	120	7	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	120	9	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	10	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	11	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	120	12	RNN	RNN	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	120	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	120	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	120	15	convolutional	convolutional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	120	16	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	120	17	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	120	18	discussed	discuss	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	120	19	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	120	20	Shirani	Shirani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	120	21	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	120	22	Mehr	Mehr	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	120	23	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	120	24	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	120	25	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	120	26	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	120	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	120	28	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	120	29	find	find	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	120	30	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	120	31	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	120	32	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	120	33	testing	test	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	120	34	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	120	35	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	120	36	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	37	only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	120	38	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	120	39	that	that	DT
work_fljh2g733fa2fnxmkvwa4p3kby	120	40	convolutional	convolutional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	120	41	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	120	42	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	120	43	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	120	44	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	45	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	46	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	120	47	performed	perform	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	120	48	better	well	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	120	49	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	120	50	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	120	51	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	120	52	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	120	53	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	120	54	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	120	55	baseline	baseline	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	56	Naive	naive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	120	57	Bayesian	bayesian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	120	58	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	120	59	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	121	1	Most	most	RBS
work_fljh2g733fa2fnxmkvwa4p3kby	121	2	relevant	relevant	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	121	3	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	121	4	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	121	5	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	121	6	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	121	7	semi	semi	RB
work_fljh2g733fa2fnxmkvwa4p3kby	121	8	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	121	9	supervised	supervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	121	10	recursive	recursive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	121	11	autoencoders	autoencoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	121	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	121	13	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	121	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	121	15	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	121	16	were	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	121	17	introduced	introduce	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	121	18	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	121	19	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	121	20	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	121	21	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	121	22	Socher	Socher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	121	23	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	121	24	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	121	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	122	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	122	2	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	122	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	122	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	123	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	123	2	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	123	3	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	123	4	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	123	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	123	6	described	describe	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	123	7	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	123	8	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	123	9	Stacked	Stacked	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	123	10	Denoising	Denoising	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	123	11	Autoencoders	Autoencoders	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	123	12	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	123	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	123	14	without	without	IN
work_fljh2g733fa2fnxmkvwa4p3kby	123	15	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	123	16	predefined	predefine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	123	17	structure	structure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	123	18	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	123	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	123	20	combined	combine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	123	21	reconstruction	reconstruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	123	22	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	123	23	cross	cross	VB
work_fljh2g733fa2fnxmkvwa4p3kby	123	24	entropy	entropy	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	123	25	errors	error	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	123	26	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	123	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	123	28	optimisation	optimisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	123	29	objective	objective	NN
work_fljh2g733fa2fnxmkvwa4p3kby	123	30	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	123	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	123	32	structural	structural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	123	33	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	123	34	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	123	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	124	1	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	124	2	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	124	3	algorithms	algorithm	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	124	4	were	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	124	5	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	124	6	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	124	7	Mirowski	Mirowski	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	124	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	124	9	Ranzato	Ranzato	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	124	10	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	124	11	LeCun	LeCun	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	124	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	124	13	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	124	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	124	15	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	124	16	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	124	17	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	124	18	bag	bag	NN
work_fljh2g733fa2fnxmkvwa4p3kby	124	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	124	20	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	124	21	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	124	22	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	124	23	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	124	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	124	25	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	124	26	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	124	27	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	124	28	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	124	29	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	124	30	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	124	31	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	124	32	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	124	33	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	124	34	similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	124	35	semi	semi	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	124	36	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	124	37	supervised	supervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	124	38	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	124	39	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	125	1	Pollack	Pollack	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	125	2	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	125	3	1990	1990	CD
work_fljh2g733fa2fnxmkvwa4p3kby	125	4	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	125	5	introduced	introduce	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	125	6	recursive	recursive	VB
work_fljh2g733fa2fnxmkvwa4p3kby	125	7	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	125	8	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	125	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	125	10	compact	compact	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	125	11	distributed	distribute	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	125	12	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	125	13	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	125	14	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	125	15	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	125	16	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	125	17	including	include	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	125	18	textual	textual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	125	19	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	125	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	126	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	126	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	126	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	126	4	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	126	5	relied	rely	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	126	6	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	126	7	binary	binary	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	126	8	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	126	9	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	126	10	requiring	require	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	126	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	126	12	large	large	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	126	13	sparse	sparse	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	126	14	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	126	15	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	126	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	127	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	127	2	enhance	enhance	VB
work_fljh2g733fa2fnxmkvwa4p3kby	127	3	generalisation	generalisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	127	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	127	5	linear	linear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	127	6	modification	modification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	127	7	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	127	8	introduced	introduce	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	127	9	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	127	10	Voegtlin	Voegtlin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	127	11	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	127	12	Dominey	Dominey	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	127	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	127	14	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	127	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	127	16	but	but	CC
work_fljh2g733fa2fnxmkvwa4p3kby	127	17	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	127	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	127	19	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	127	20	binary	binary	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	127	21	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	127	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	128	1	Word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	128	2	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	128	3	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	128	4	were	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	128	5	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	128	6	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	128	7	Socher	Socher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	128	8	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	128	9	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	128	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	129	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	129	2	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	129	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	129	4	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	129	5	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	129	6	argued	argue	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	129	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	129	8	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	129	9	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	129	10	suitable	suitable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	129	11	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	129	12	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	129	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	129	14	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	129	15	require	require	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	129	16	continuous	continuous	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	129	17	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	129	18	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	129	19	definition	definition	NN
work_fljh2g733fa2fnxmkvwa4p3kby	129	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	130	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	130	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	130	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	130	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	130	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	131	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	131	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	131	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	131	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	131	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	131	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	131	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	132	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	132	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	132	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	132	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	132	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	132	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	132	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	132	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	132	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	132	10	5/32	5/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	132	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	132	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	132	13	METHODS	METHODS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	132	14	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	132	15	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	132	16	aims	aim	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	132	17	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	132	18	finding	find	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	132	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	132	20	uniform	uniform	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	132	21	way	way	NN
work_fljh2g733fa2fnxmkvwa4p3kby	132	22	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	132	23	representing	represent	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	132	24	variable	variable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	132	25	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	132	26	sized	sized	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	132	27	phrases	phrase	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	132	28	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	132	29	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	132	30	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	132	31	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	132	32	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	132	33	effectively	effectively	RB
work_fljh2g733fa2fnxmkvwa4p3kby	132	34	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	132	35	achieve	achieve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	132	36	accurate	accurate	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	132	37	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	132	38	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	132	39	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	133	1	Topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	133	2	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	133	4	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	133	5	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	133	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	133	7	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	8	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	9	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	10	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	133	11	provides	provide	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	133	12	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	133	13	robust	robust	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	133	14	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	15	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	133	16	requires	require	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	133	17	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	133	18	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	19	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	20	independent	independent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	133	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	133	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	133	23	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	24	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	133	25	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	133	26	without	without	IN
work_fljh2g733fa2fnxmkvwa4p3kby	133	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	133	28	need	need	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	29	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	133	30	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	31	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	133	32	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	133	33	lexicon	lexicon	NN
work_fljh2g733fa2fnxmkvwa4p3kby	133	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	134	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	134	2	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	134	3	converts	convert	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	134	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	134	5	variable	variable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	134	6	length	length	NN
work_fljh2g733fa2fnxmkvwa4p3kby	134	7	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	134	8	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	134	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	134	10	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	134	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	134	12	probabilities	probability	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	134	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	134	14	i.e.	i.e.	FW
work_fljh2g733fa2fnxmkvwa4p3kby	135	1	continuous	continuous	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	135	2	variables	variable	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	135	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	135	4	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	135	5	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	135	6	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	135	7	advantage	advantage	NN
work_fljh2g733fa2fnxmkvwa4p3kby	135	8	when	when	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	135	9	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	135	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	135	11	stacked	stack	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	135	12	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	135	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	136	1	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	136	2	uses	use	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	136	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	136	4	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	136	5	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	136	6	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	136	7	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	136	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	136	9	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	136	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	136	11	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	136	12	labelled	label	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	136	13	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	136	14	conveying	convey	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	136	15	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	136	16	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	136	17	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	136	18	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	136	19	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	137	1	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	137	2	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	137	3	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	137	4	build	build	VB
work_fljh2g733fa2fnxmkvwa4p3kby	137	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	137	6	structural	structural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	137	7	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	137	8	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	137	9	defines	define	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	137	10	that	that	DT
work_fljh2g733fa2fnxmkvwa4p3kby	137	11	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	137	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	138	1	REs	re	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	138	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	138	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	138	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	138	5	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	138	6	AEs	ae	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	138	7	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	138	8	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	138	9	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	138	10	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	138	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	138	12	simple	simple	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	138	13	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	138	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	138	15	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	138	16	explore	explore	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	138	17	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	138	18	options	option	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	138	19	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	138	20	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	138	21	Classification	Classification	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	138	22	Approach	Approach	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	138	23	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	138	24	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	138	25	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	138	26	provide	provide	VB
work_fljh2g733fa2fnxmkvwa4p3kby	138	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	138	28	final	final	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	138	29	prediction	prediction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	138	30	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	138	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	138	32	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	138	33	perceived	perceive	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	138	34	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	138	35	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	138	36	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	138	37	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	138	38	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	139	1	Shifting	shift	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	139	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	3	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	4	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	5	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	139	7	phrases	phrase	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	139	8	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	9	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	10	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	11	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	12	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	139	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	14	advantage	advantage	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	16	building	build	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	139	17	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	139	18	dynamic	dynamic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	139	19	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	139	20	robust	robust	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	139	21	systems	system	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	139	22	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	139	23	small	small	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	139	24	changes	change	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	139	25	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	27	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	28	level	level	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	29	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	139	30	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	139	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	32	introduction	introduction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	33	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	34	new	new	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	139	35	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	139	36	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	139	37	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	139	38	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	139	39	cause	cause	VB
work_fljh2g733fa2fnxmkvwa4p3kby	139	40	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	41	major	major	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	139	42	change	change	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	43	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	44	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	139	45	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	46	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	139	47	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	139	48	represented	represent	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	139	49	opening	open	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	139	50	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	51	door	door	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	52	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	53	adaptive	adaptive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	139	54	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	55	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	56	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	139	57	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	139	58	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	139	59	able	able	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	139	60	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	139	61	cope	cope	VB
work_fljh2g733fa2fnxmkvwa4p3kby	139	62	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	63	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	64	fast	fast	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	139	65	changing	change	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	139	66	content	content	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	67	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	139	68	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	139	69	web	web	NN
work_fljh2g733fa2fnxmkvwa4p3kby	139	70	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	140	1	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	140	2	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	140	3	describes	describe	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	140	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	140	5	process	process	NN
work_fljh2g733fa2fnxmkvwa4p3kby	140	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	140	7	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	140	8	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	140	9	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	140	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	140	11	proposed	propose	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	140	12	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	140	13	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	140	14	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	140	15	article	article	NN
work_fljh2g733fa2fnxmkvwa4p3kby	140	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	141	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	141	2	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	141	3	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	141	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	141	5	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	141	6	resources	resource	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	141	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	141	8	separated	separate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	141	9	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	141	10	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	141	11	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	141	12	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	141	13	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	141	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	142	1	Two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	142	2	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	142	3	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	142	4	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	142	5	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	142	6	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	142	7	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	142	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	142	9	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	142	10	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	142	11	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	142	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	143	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	143	2	extracted	extracted	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	143	3	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	143	4	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	143	5	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	143	6	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	143	7	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	143	8	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	143	9	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	143	10	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	143	11	train	train	VB
work_fljh2g733fa2fnxmkvwa4p3kby	143	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	143	13	corresponding	correspond	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	143	14	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	143	15	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	143	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	144	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	144	2	predict	predict	VB
work_fljh2g733fa2fnxmkvwa4p3kby	144	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	144	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	144	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	144	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	144	7	given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	144	8	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	144	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	144	10	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	144	11	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	144	12	passed	pass	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	144	13	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	144	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	144	15	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	144	16	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	144	17	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	144	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	144	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	144	20	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	144	21	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	144	22	resulting	result	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	144	23	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	144	24	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	144	25	overall	overall	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	144	26	reconstruction	reconstruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	144	27	error	error	NN
work_fljh2g733fa2fnxmkvwa4p3kby	144	28	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	144	29	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	144	30	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	144	31	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	144	32	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	144	33	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	144	34	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	144	35	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	144	36	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	144	37	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	144	38	linear	linear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	144	39	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	144	40	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	144	41	predict	predict	VB
work_fljh2g733fa2fnxmkvwa4p3kby	144	42	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	144	43	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	144	44	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	145	1	Topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	145	2	modeling	modeling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	145	3	Consider	Consider	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	145	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	145	5	conceptually	conceptually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	145	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	145	7	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	145	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	145	9	phrase	phrase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	145	10	expressing	express	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	145	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	145	12	given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	145	13	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	145	14	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	145	15	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	145	16	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	145	17	formed	form	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	145	18	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	145	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	145	20	collection	collection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	145	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	145	22	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	145	23	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	145	24	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	145	25	commonly	commonly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	145	26	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	145	27	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	145	28	express	express	VB
work_fljh2g733fa2fnxmkvwa4p3kby	145	29	that	that	DT
work_fljh2g733fa2fnxmkvwa4p3kby	145	30	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	145	31	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	146	1	By	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	146	2	capturing	capture	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	146	3	those	those	DT
work_fljh2g733fa2fnxmkvwa4p3kby	146	4	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	146	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	146	6	related	relate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	146	7	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	146	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	146	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	146	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	146	11	form	form	NN
work_fljh2g733fa2fnxmkvwa4p3kby	146	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	146	13	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	146	14	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	146	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	146	16	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	146	17	should	should	MD
work_fljh2g733fa2fnxmkvwa4p3kby	146	18	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	146	19	able	able	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	146	20	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	146	21	capture	capture	VB
work_fljh2g733fa2fnxmkvwa4p3kby	146	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	146	23	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	146	24	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	146	25	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	146	26	phrase	phrase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	146	27	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	146	28	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	146	29	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	146	30	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	146	31	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	146	32	accurately	accurately	RB
work_fljh2g733fa2fnxmkvwa4p3kby	146	33	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	146	34	conventional	conventional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	146	35	keyword	keyword	NN
work_fljh2g733fa2fnxmkvwa4p3kby	146	36	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	146	37	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	147	1	Through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	147	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	147	3	building	building	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	147	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	147	6	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	147	8	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	9	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	10	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	147	11	transforms	transform	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	147	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	147	13	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	147	14	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	147	15	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	147	16	abstract	abstract	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	147	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	147	18	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	147	20	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	21	should	should	MD
work_fljh2g733fa2fnxmkvwa4p3kby	147	22	result	result	VB
work_fljh2g733fa2fnxmkvwa4p3kby	147	23	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	147	24	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	147	25	informative	informative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	147	26	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	147	27	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	147	28	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	147	29	less	less	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	147	30	affected	affected	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	147	31	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	147	32	‘	'	``
work_fljh2g733fa2fnxmkvwa4p3kby	147	33	noise	noise	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	34	’	'	''
work_fljh2g733fa2fnxmkvwa4p3kby	147	35	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	147	36	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	147	37	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	38	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	147	39	even	even	RB
work_fljh2g733fa2fnxmkvwa4p3kby	147	40	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	41	level	level	NN
work_fljh2g733fa2fnxmkvwa4p3kby	147	42	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	148	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	148	2	area	area	NN
work_fljh2g733fa2fnxmkvwa4p3kby	148	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	148	4	research	research	NN
work_fljh2g733fa2fnxmkvwa4p3kby	148	5	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	148	6	referred	refer	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	148	7	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	148	8	as	as	RB
work_fljh2g733fa2fnxmkvwa4p3kby	148	9	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	148	10	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	148	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	148	12	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	148	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	148	14	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	148	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	148	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	149	1	Within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	149	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	149	3	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	149	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	149	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	149	6	given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	149	7	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	149	8	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	149	9	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	149	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	149	11	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	149	12	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	149	13	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	149	14	able	able	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	149	15	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	149	16	automatically	automatically	RB
work_fljh2g733fa2fnxmkvwa4p3kby	149	17	include	include	VB
work_fljh2g733fa2fnxmkvwa4p3kby	149	18	contextual	contextual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	149	19	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	149	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	149	21	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	149	22	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	149	23	particularly	particularly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	149	24	helpful	helpful	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	149	25	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	149	26	cases	case	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	149	27	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	149	28	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	149	29	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	149	30	might	may	MD
work_fljh2g733fa2fnxmkvwa4p3kby	149	31	reflect	reflect	VB
work_fljh2g733fa2fnxmkvwa4p3kby	149	32	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	149	33	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	149	34	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	149	35	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	149	36	domains	domain	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	149	37	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	149	38	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	149	39	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	149	40	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	150	1	‘	'	``
work_fljh2g733fa2fnxmkvwa4p3kby	150	2	easy	easy	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	150	3	’	'	''
work_fljh2g733fa2fnxmkvwa4p3kby	150	4	would	would	MD
work_fljh2g733fa2fnxmkvwa4p3kby	150	5	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	150	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	150	7	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	150	8	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	150	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	150	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	150	11	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	150	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	150	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	150	14	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	150	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	150	16	household	household	NN
work_fljh2g733fa2fnxmkvwa4p3kby	150	17	items	item	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	150	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	150	19	but	but	CC
work_fljh2g733fa2fnxmkvwa4p3kby	150	20	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	150	21	‘	'	``
work_fljh2g733fa2fnxmkvwa4p3kby	150	22	easy	easy	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	150	23	’	'	''
work_fljh2g733fa2fnxmkvwa4p3kby	150	24	online	online	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	150	25	game	game	NN
work_fljh2g733fa2fnxmkvwa4p3kby	150	26	would	would	MD
work_fljh2g733fa2fnxmkvwa4p3kby	150	27	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	150	28	perceived	perceive	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	150	29	negatively	negatively	RB
work_fljh2g733fa2fnxmkvwa4p3kby	150	30	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	150	31	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	151	1	Topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	151	2	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	151	3	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	151	4	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	151	5	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	151	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	151	7	Bayesian	bayesian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	151	8	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	151	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	151	10	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	151	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	151	12	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	151	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	151	14	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	151	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	151	16	observed	observed	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	151	17	variables	variable	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	151	18	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	151	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	151	20	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	151	21	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	151	22	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	151	23	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	151	24	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	151	25	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	151	26	realisation	realisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	151	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	151	28	random	random	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	151	29	variables	variable	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	151	30	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	151	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	151	32	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	151	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	152	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	152	2	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	152	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	152	4	equivalent	equivalent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	152	5	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	152	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	152	7	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	152	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	152	9	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	152	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	152	11	that	that	DT
work_fljh2g733fa2fnxmkvwa4p3kby	152	12	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	152	13	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	152	14	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	152	15	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	152	16	associated	associate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	152	17	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	152	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	152	19	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	152	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	152	21	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	152	22	containing	contain	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	152	23	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	152	24	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	152	25	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	152	26	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	152	27	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	152	28	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	152	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	153	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	153	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	153	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	153	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	153	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	153	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	153	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	154	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	154	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	154	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	154	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	154	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	154	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	154	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	154	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	154	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	154	10	6/32	6/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	154	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	154	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	154	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	154	14	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	154	15	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	154	16	could	could	MD
work_fljh2g733fa2fnxmkvwa4p3kby	154	17	include	include	VB
work_fljh2g733fa2fnxmkvwa4p3kby	154	18	more	more	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	154	19	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	154	20	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	154	21	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	154	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	155	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	155	2	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	155	3	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	155	4	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	155	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	155	6	more	more	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	155	7	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	155	8	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	155	9	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	155	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	155	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	155	12	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	155	13	consists	consist	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	155	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	155	15	more	more	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	155	16	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	155	17	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	155	18	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	155	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	156	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	156	2	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	156	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	156	4	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	156	5	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	156	6	containing	contain	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	156	7	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	156	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	156	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	156	10	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	156	11	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	156	12	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	156	13	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	156	14	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	156	15	further	further	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	156	16	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	156	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	157	1	Latent	Latent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	2	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	3	Allocation	Allocation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	157	5	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	157	7	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	8	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	157	9	Jordan	Jordan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	157	11	2003	2003	CD
work_fljh2g733fa2fnxmkvwa4p3kby	157	12	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	157	13	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	157	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	157	15	most	most	RBS
work_fljh2g733fa2fnxmkvwa4p3kby	157	16	commonly	commonly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	157	17	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	157	18	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	157	19	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	157	20	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	157	21	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	157	22	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	157	23	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	24	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	25	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	157	26	Wall	Wall	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	27	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	157	28	McGough	McGough	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	157	29	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	157	30	2017	2017	CD
work_fljh2g733fa2fnxmkvwa4p3kby	157	31	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	157	32	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	158	1	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	158	2	works	work	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	158	3	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	158	4	measuring	measure	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	158	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	158	6	co	co	NN
work_fljh2g733fa2fnxmkvwa4p3kby	158	7	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	158	8	occurrence	occurrence	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	158	9	statistics	statistic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	158	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	158	11	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	158	12	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	158	13	terms	term	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	158	14	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	158	15	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	158	16	set	set	NN
work_fljh2g733fa2fnxmkvwa4p3kby	158	17	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	158	18	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	158	19	leading	lead	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	158	20	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	158	21	recognising	recognise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	158	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	158	23	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	158	24	structure	structure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	158	25	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	158	26	those	those	DT
work_fljh2g733fa2fnxmkvwa4p3kby	158	27	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	158	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	159	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	159	2	only	only	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	159	3	assumption	assumption	NN
work_fljh2g733fa2fnxmkvwa4p3kby	159	4	made	make	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	159	5	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	159	6	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	159	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	159	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	159	9	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	159	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	159	11	underlying	underlie	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	159	12	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	159	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	159	14	k	k	NN
work_fljh2g733fa2fnxmkvwa4p3kby	159	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	159	16	responsible	responsible	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	159	17	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	159	18	generating	generate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	159	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	159	20	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	159	21	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	159	22	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	159	23	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	159	24	multinomial	multinomial	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	159	25	distribution	distribution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	159	26	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	159	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	159	28	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	159	29	over	over	IN
work_fljh2g733fa2fnxmkvwa4p3kby	159	30	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	159	31	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	159	32	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	159	33	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	159	34	vocabulary	vocabulary	NN
work_fljh2g733fa2fnxmkvwa4p3kby	159	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	160	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	160	2	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	160	3	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	160	4	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	160	5	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	160	6	seen	see	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	160	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	160	8	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	160	9	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	160	10	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	160	11	sampling	sample	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	160	12	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	160	13	finite	finite	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	160	14	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	160	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	160	16	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	160	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	160	18	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	160	19	sampling	sample	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	160	20	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	160	21	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	160	22	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	160	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	160	24	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	160	25	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	160	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	161	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	161	2	ordering	ordering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	161	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	161	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	161	5	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	161	6	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	161	7	irrelevant	irrelevant	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	161	8	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	161	9	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	161	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	162	1	Here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	162	2	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	162	3	briefly	briefly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	162	4	describe	describe	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	162	5	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	162	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	163	1	We	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	163	2	model	model	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	163	3	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	163	4	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	163	5	w	w	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	163	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	163	7	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	163	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	163	9	corpus	corpus	NN
work_fljh2g733fa2fnxmkvwa4p3kby	163	10	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	163	11	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	163	12	contains	contain	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	163	13	N	n	CD
work_fljh2g733fa2fnxmkvwa4p3kby	163	14	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	163	15	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	163	16	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	163	17	generative	generative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	163	18	process	process	NN
work_fljh2g733fa2fnxmkvwa4p3kby	163	19	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	163	20	�	�	``
work_fljh2g733fa2fnxmkvwa4p3kby	163	21	Choose	choose	VB
work_fljh2g733fa2fnxmkvwa4p3kby	163	22	θ	θ	NN
work_fljh2g733fa2fnxmkvwa4p3kby	163	23	Dir(α	dir(α	NN
work_fljh2g733fa2fnxmkvwa4p3kby	163	24	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	163	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	164	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	164	2	For	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	164	3	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	164	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	164	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	164	6	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	164	7	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	164	8	wn	wn	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	164	9	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	164	10	define	define	VB
work_fljh2g733fa2fnxmkvwa4p3kby	164	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	164	12	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	164	13	zn	zn	IN
work_fljh2g733fa2fnxmkvwa4p3kby	164	14	Multinomial	Multinomial	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	164	15	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	164	16	θ	θ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	164	17	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	164	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	164	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	164	20	multinomial	multinomial	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	164	21	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	164	22	conditioned	condition	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	164	23	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	164	24	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	164	25	zn	zn	FW
work_fljh2g733fa2fnxmkvwa4p3kby	164	26	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	164	27	p(wn	p(wn	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	164	28	—	—	:
work_fljh2g733fa2fnxmkvwa4p3kby	164	29	zn	zn	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	164	30	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	164	31	β	β	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	164	32	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	164	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	165	1	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	165	2	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	165	3	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	165	4	schematic	schematic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	165	5	description	description	NN
work_fljh2g733fa2fnxmkvwa4p3kby	165	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	165	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	165	8	overall	overall	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	165	9	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	165	10	scheme	scheme	NN
work_fljh2g733fa2fnxmkvwa4p3kby	165	11	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	165	12	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	165	13	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	165	14	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	165	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	165	16	proposed	propose	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	165	17	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	165	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	166	1	From	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	166	2	bottom	bottom	NN
work_fljh2g733fa2fnxmkvwa4p3kby	166	3	up	up	RP
work_fljh2g733fa2fnxmkvwa4p3kby	166	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	166	5	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	166	6	come	come	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	166	7	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	166	8	various	various	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	166	9	resources	resource	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	166	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	167	1	Data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	167	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	167	3	separated	separate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	167	4	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	167	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	167	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	167	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	167	8	topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	167	9	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	167	10	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	167	11	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	167	12	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	167	13	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	167	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	168	1	All	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	168	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	168	3	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	168	4	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	168	5	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	168	6	passed	pass	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	168	7	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	168	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	168	9	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	168	10	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	168	11	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	168	12	generate	generate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	168	13	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	168	14	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	168	15	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	168	16	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	168	17	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	168	18	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	168	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	168	20	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	168	21	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	168	22	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	168	23	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	168	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	169	1	Finally	finally	RB
work_fljh2g733fa2fnxmkvwa4p3kby	169	2	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	169	3	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	169	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	169	5	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	169	6	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	169	7	predict	predict	VB
work_fljh2g733fa2fnxmkvwa4p3kby	169	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	169	9	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	169	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	170	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	170	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	170	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	170	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	170	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	170	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	170	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	170	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	170	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	170	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	170	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	170	12	fig-1	fig-1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	170	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	170	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	170	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	170	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	170	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	171	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	171	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	171	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	171	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	171	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	171	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	171	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	172	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	172	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	172	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	172	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	172	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	10	7/32	7/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	172	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-1	http://dx.doi.org/10.7717/peerj-cs.252/fig-1	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	172	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	172	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	172	14	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	172	15	Dir	Dir	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	16	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	172	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	172	18	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	19	function	function	NN
work_fljh2g733fa2fnxmkvwa4p3kby	172	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	172	21	α	α	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	172	22	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	172	23	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	172	24	k	k	NN
work_fljh2g733fa2fnxmkvwa4p3kby	172	25	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	172	26	dimensional	dimensional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	172	27	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	172	28	parameter	parameter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	172	29	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	172	30	αi	αi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	31	>	>	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	172	32	0	0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	172	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	173	1	For	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	173	2	k	k	NN
work_fljh2g733fa2fnxmkvwa4p3kby	173	3	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	173	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	173	5	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	173	6	density	density	NN
work_fljh2g733fa2fnxmkvwa4p3kby	173	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	173	8	θ	θ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	9	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	173	10	defined	define	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	173	11	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	173	12	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	173	13	pðujaÞ	pðujaÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	14	¼	¼	NN
work_fljh2g733fa2fnxmkvwa4p3kby	173	15	Γð	Γð	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	16	Pk	Pk	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	17	i¼1	i¼1	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	173	18	aiÞQk	aiþqk	$
work_fljh2g733fa2fnxmkvwa4p3kby	173	19	i¼1	i¼1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	20	ΓðaiÞ	ΓðaiÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	21	u	u	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	22	a1	a1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	23	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	24	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	173	25	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	173	26	…	…	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	173	27	u	u	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	28	ak	ak	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	29	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	30	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	173	31	k	k	NN
work_fljh2g733fa2fnxmkvwa4p3kby	173	32	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	173	33	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	173	34	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	173	35	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	173	36	Γ	Γ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	37	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	173	38	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	173	39	Gamma	Gamma	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	173	40	function	function	NN
work_fljh2g733fa2fnxmkvwa4p3kby	173	41	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	174	1	Given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	174	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	174	3	auxiliary	auxiliary	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	174	4	parameters	parameter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	174	5	α	α	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	174	7	β	β	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	174	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	174	10	joint	joint	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	174	11	distribution	distribution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	174	13	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	174	14	topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	174	15	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	16	θ	θ	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	174	18	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	19	z	z	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	20	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	174	21	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	22	w	w	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	23	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	174	24	defined	define	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	174	25	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	174	26	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	174	27	pðu	pðu	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	28	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	174	29	z	z	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	30	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	174	31	wja	wja	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	32	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	174	33	bÞ	bÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	34	¼	¼	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	35	pðujaÞ	pðujaÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	36	YN	YN	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	37	n¼1	n¼1	:
work_fljh2g733fa2fnxmkvwa4p3kby	174	38	pðznjuÞpðwnjzn	pðznjuÞpðwnjzn	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	174	39	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	174	40	bÞ	bÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	41	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	174	42	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	174	43	2	2	LS
work_fljh2g733fa2fnxmkvwa4p3kby	174	44	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	174	45	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	174	46	p(zn|θ	p(zn|θ	NN
work_fljh2g733fa2fnxmkvwa4p3kby	174	47	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	174	48	=	=	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	174	49	θi	θi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	50	such	such	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	174	51	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	174	52	z	z	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	53	i	i	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	54	n	n	CC
work_fljh2g733fa2fnxmkvwa4p3kby	174	55	¼	¼	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	174	56	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	174	57	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	175	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	175	2	obtain	obtain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	175	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	175	4	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	5	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	6	density	density	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	7	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	175	8	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	175	9	marginalise	marginalise	VB
work_fljh2g733fa2fnxmkvwa4p3kby	175	10	over	over	IN
work_fljh2g733fa2fnxmkvwa4p3kby	175	11	θ	θ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	175	13	z.	z.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	14	pðwja	pðwja	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	15	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	175	16	bÞ	bÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	17	¼	¼	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	175	18	Z	Z	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	19	pðujaÞ	pðujaÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	20	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	21	YN	YN	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	22	n¼1	n¼1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	23	X	x	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	24	zn	zn	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	25	pðznjuÞpðwnjzn	pðznjuþpðwnjzn	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	26	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	175	27	bÞ	bÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	28	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	29	du	du	IN
work_fljh2g733fa2fnxmkvwa4p3kby	175	30	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	175	31	3	3	LS
work_fljh2g733fa2fnxmkvwa4p3kby	175	32	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	175	33	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	175	34	corpus	corpus	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	35	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	36	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	175	37	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	175	38	defined	define	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	175	39	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	175	40	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	175	41	pðDja	pðDja	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	42	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	175	43	bÞ	bÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	44	¼	¼	RB
work_fljh2g733fa2fnxmkvwa4p3kby	175	45	YM	YM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	46	d¼1	d¼1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	47	Z	Z	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	48	pðwdja	pðwdja	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	49	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	175	50	bÞdwd	bÞdwd	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	175	51	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	175	52	4	4	LS
work_fljh2g733fa2fnxmkvwa4p3kby	175	53	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	175	54	Efficient	efficient	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	175	55	parameter	parameter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	56	estimation	estimation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	57	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	175	58	usually	usually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	175	59	done	do	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	175	60	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	175	61	variational	variational	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	175	62	Bayesian	bayesian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	175	63	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	175	64	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	175	65	Gibbs	Gibbs	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	175	66	sampling	sampling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	175	67	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	175	68	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	69	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	175	70	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	71	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	175	72	Jordan	Jordan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	175	73	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	175	74	2003	2003	CD
work_fljh2g733fa2fnxmkvwa4p3kby	175	75	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	175	76	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	176	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	176	2	complete	complete	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	176	3	description	description	NN
work_fljh2g733fa2fnxmkvwa4p3kby	176	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	176	5	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	176	6	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	176	7	beyond	beyond	IN
work_fljh2g733fa2fnxmkvwa4p3kby	176	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	176	9	scope	scope	NN
work_fljh2g733fa2fnxmkvwa4p3kby	176	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	176	11	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	176	12	paper	paper	NN
work_fljh2g733fa2fnxmkvwa4p3kby	176	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	176	14	interested	interested	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	176	15	readers	reader	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	176	16	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	176	17	referred	refer	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	176	18	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	176	19	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	176	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	176	21	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	176	22	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	176	23	Jordan	Jordan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	176	24	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	176	25	2003	2003	CD
work_fljh2g733fa2fnxmkvwa4p3kby	176	26	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	176	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	177	1	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	177	2	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	177	3	been	be	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	177	4	widely	widely	RB
work_fljh2g733fa2fnxmkvwa4p3kby	177	5	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	177	6	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	177	7	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	177	8	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	177	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	177	10	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	177	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	178	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	178	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	178	3	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	178	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	178	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	178	6	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	178	7	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	178	8	studies	study	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	178	9	tried	try	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	178	10	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	178	11	extend	extend	VB
work_fljh2g733fa2fnxmkvwa4p3kby	178	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	178	13	original	original	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	178	14	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	15	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	178	16	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	178	17	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	178	18	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	178	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	178	20	Eguchi	Eguchi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	21	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	178	22	Lavrenko	Lavrenko	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	23	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	178	24	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	178	25	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	178	26	Mei	Mei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	27	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	28	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	29	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	30	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	178	31	2007	2007	CD
work_fljh2g733fa2fnxmkvwa4p3kby	178	32	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	178	33	Lin	Lin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	34	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	178	35	He	He	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	178	36	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	178	37	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	178	38	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	178	39	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	179	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	179	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	179	3	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	179	4	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	179	5	focused	focus	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	179	6	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	179	7	adding	add	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	179	8	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	179	9	additional	additional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	179	10	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	179	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	179	12	abstraction	abstraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	179	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	179	14	via	via	IN
work_fljh2g733fa2fnxmkvwa4p3kby	179	15	latent	latent	NN
work_fljh2g733fa2fnxmkvwa4p3kby	179	16	variables	variable	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	179	17	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	179	18	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	179	19	describe	describe	VB
work_fljh2g733fa2fnxmkvwa4p3kby	179	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	179	21	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	179	22	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	179	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	179	24	interest	interest	NN
work_fljh2g733fa2fnxmkvwa4p3kby	179	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	180	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	180	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	180	3	limited	limited	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	180	4	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	180	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	180	6	strong	strong	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	180	7	assumptions	assumption	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	180	8	put	put	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	180	9	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	180	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	180	11	Bayesian	bayesian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	180	12	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	180	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	181	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	181	2	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	181	3	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	181	4	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	181	5	use	use	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	181	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	181	7	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	181	8	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	181	9	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	181	10	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	181	11	explained	explain	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	181	12	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	181	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	181	14	next	next	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	181	15	section	section	NN
work_fljh2g733fa2fnxmkvwa4p3kby	181	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	181	17	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	181	18	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	181	19	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	181	20	complex	complex	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	181	21	relationships	relationship	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	181	22	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	181	23	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	181	24	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	181	25	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	181	26	responsible	responsible	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	181	27	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	181	28	generating	generate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	181	29	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	181	30	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	181	31	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	182	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	182	2	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	182	3	requires	require	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	182	4	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	182	5	assumptions	assumption	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	182	6	about	about	IN
work_fljh2g733fa2fnxmkvwa4p3kby	182	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	182	8	relationship	relationship	NN
work_fljh2g733fa2fnxmkvwa4p3kby	182	9	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	182	10	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	182	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	182	12	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	182	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	182	14	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	182	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	183	1	Stacked	stack	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	183	2	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	183	3	autoencoders	autoencoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	183	4	Stacked	stack	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	183	5	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	183	6	fall	fall	NN
work_fljh2g733fa2fnxmkvwa4p3kby	183	7	under	under	IN
work_fljh2g733fa2fnxmkvwa4p3kby	183	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	183	9	umbrella	umbrella	NN
work_fljh2g733fa2fnxmkvwa4p3kby	183	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	183	11	representative	representative	NN
work_fljh2g733fa2fnxmkvwa4p3kby	183	12	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	183	13	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	183	14	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	183	15	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	183	16	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	183	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	184	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	184	2	goal	goal	NN
work_fljh2g733fa2fnxmkvwa4p3kby	184	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	184	4	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	184	5	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	184	6	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	184	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	184	8	learn	learn	VB
work_fljh2g733fa2fnxmkvwa4p3kby	184	9	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	184	10	abstract	abstract	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	184	11	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	184	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	184	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	184	14	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	184	15	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	184	16	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	184	17	its	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	184	18	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	184	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	185	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	185	2	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	185	3	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	185	4	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	185	5	reconstructed	reconstruct	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	185	6	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	185	7	that	that	DT
work_fljh2g733fa2fnxmkvwa4p3kby	185	8	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	185	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	186	1	Hence	hence	RB
work_fljh2g733fa2fnxmkvwa4p3kby	186	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	186	3	desired	desire	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	186	4	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	186	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	186	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	186	7	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	186	8	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	186	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	186	10	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	186	11	itself	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	186	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	186	13	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	186	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	186	15	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	186	16	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	186	17	Bourlard	Bourlard	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	186	18	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	186	19	Kamp	Kamp	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	186	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	186	21	1988	1988	CD
work_fljh2g733fa2fnxmkvwa4p3kby	186	22	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	186	23	Japkowicz	Japkowicz	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	186	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	186	25	Hanson	Hanson	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	186	26	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	186	27	Gluck	Gluck	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	186	28	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	186	29	2000	2000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	186	30	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	186	31	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	187	1	Hinton	Hinton	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	187	2	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	187	3	Zemel	Zemel	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	187	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	187	5	1994	1994	CD
work_fljh2g733fa2fnxmkvwa4p3kby	187	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	187	7	defined	define	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	187	8	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	187	9	AE	ae	NN
work_fljh2g733fa2fnxmkvwa4p3kby	187	10	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	187	11	‘	'	``
work_fljh2g733fa2fnxmkvwa4p3kby	187	12	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	187	13	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	187	14	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	187	15	uses	use	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	187	16	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	187	17	set	set	NN
work_fljh2g733fa2fnxmkvwa4p3kby	187	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	187	19	recognition	recognition	NN
work_fljh2g733fa2fnxmkvwa4p3kby	187	20	weights	weight	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	187	21	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	187	22	convert	convert	VB
work_fljh2g733fa2fnxmkvwa4p3kby	187	23	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	187	24	input	input	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	187	25	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	187	26	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	187	27	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	187	28	code	code	NN
work_fljh2g733fa2fnxmkvwa4p3kby	187	29	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	187	30	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	188	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	188	2	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	188	3	uses	use	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	188	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	188	5	set	set	NN
work_fljh2g733fa2fnxmkvwa4p3kby	188	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	188	7	generative	generative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	188	8	weights	weight	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	188	9	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	188	10	convert	convert	VB
work_fljh2g733fa2fnxmkvwa4p3kby	188	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	188	12	code	code	NN
work_fljh2g733fa2fnxmkvwa4p3kby	188	13	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	188	14	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	188	15	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	188	16	approximate	approximate	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	188	17	reconstruction	reconstruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	188	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	188	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	188	20	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	188	21	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	188	22	’	'	''
work_fljh2g733fa2fnxmkvwa4p3kby	188	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	189	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	189	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	189	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	189	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	189	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	190	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	190	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	190	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	190	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	190	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	190	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	190	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	191	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	191	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	191	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	191	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	191	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	10	8/32	8/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	191	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	191	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	191	13	Assuming	assume	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	191	14	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	191	15	have	have	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	191	16	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	191	17	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	191	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	191	19	just	just	RB
work_fljh2g733fa2fnxmkvwa4p3kby	191	20	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	191	21	layers	layer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	191	22	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	191	23	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	191	24	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	191	25	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	191	26	visible	visible	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	191	27	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	191	28	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	191	29	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	191	30	m	m	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	31	dimensions	dimension	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	191	32	x	x	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	191	33	=	=	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	191	34	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	191	35	x1	x1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	36	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	191	37	x2	x2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	38	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	191	39	…	…	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	191	40	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	191	41	xm	xm	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	191	42	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	191	43	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	191	44	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	192	1	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	192	2	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	192	3	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	192	4	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	192	5	described	describe	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	192	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	192	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	192	8	previous	previous	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	192	9	section	section	NN
work_fljh2g733fa2fnxmkvwa4p3kby	192	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	192	11	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	192	12	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	192	13	hidden	hidden	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	192	14	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	192	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	192	16	n	n	DT
work_fljh2g733fa2fnxmkvwa4p3kby	192	17	nodes	node	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	192	18	y	y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	192	19	=	=	NN
work_fljh2g733fa2fnxmkvwa4p3kby	192	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	192	21	y1	y1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	192	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	192	23	y2	y2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	192	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	192	25	…	…	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	192	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	192	27	yn	yn	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	192	28	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	192	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	193	1	Each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	193	2	node	node	NN
work_fljh2g733fa2fnxmkvwa4p3kby	193	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	193	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	193	5	hidden	hidden	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	193	6	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	193	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	193	8	connected	connect	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	193	9	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	193	10	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	193	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	193	12	nodes	node	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	193	13	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	193	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	193	15	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	193	16	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	193	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	194	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	194	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	194	3	construction	construction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	4	phase	phase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	5	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	194	6	compute	compute	VB
work_fljh2g733fa2fnxmkvwa4p3kby	194	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	194	8	hidden	hide	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	194	9	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	10	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	194	11	y	y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	194	12	¼	¼	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	194	13	f	f	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	194	14	ðWx	ðWx	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	194	15	þ	þ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	194	16	bÞ	bÞ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	194	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	194	18	5	5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	194	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	194	20	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	194	21	W	w	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	22	∈	∈	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	194	23	Rn	Rn	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	194	24	×	×	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	25	m	m	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	26	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	194	27	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	194	28	weight	weight	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	29	matrix	matrix	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	30	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	194	31	b	b	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	194	32	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	194	33	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	194	34	bias	bias	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	35	term	term	NN
work_fljh2g733fa2fnxmkvwa4p3kby	194	36	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	195	1	Figure	Figure	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	195	2	2A	2a	NN
work_fljh2g733fa2fnxmkvwa4p3kby	195	3	demonstrates	demonstrate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	195	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	195	5	simplified	simplified	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	195	6	example	example	NN
work_fljh2g733fa2fnxmkvwa4p3kby	195	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	195	8	such	such	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	195	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	195	10	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	195	11	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	195	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	195	13	construction	construction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	195	14	phase	phase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	195	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	196	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	196	2	assess	assess	VB
work_fljh2g733fa2fnxmkvwa4p3kby	196	3	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	196	4	well	well	RB
work_fljh2g733fa2fnxmkvwa4p3kby	196	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	196	6	new	new	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	196	7	n	n	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	196	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	196	9	dimensional	dimensional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	196	10	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	196	11	y	y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	196	12	represents	represent	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	196	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	196	14	m	m	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	196	15	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	196	16	dimensional	dimensional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	196	17	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	196	18	x	x	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	196	19	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	196	20	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	196	21	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	196	22	reconstruct	reconstruct	VB
work_fljh2g733fa2fnxmkvwa4p3kby	196	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	196	24	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	196	25	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	196	26	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	196	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	196	28	hidden	hidden	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	196	29	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	196	30	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	196	31	Fig	fig	NN
work_fljh2g733fa2fnxmkvwa4p3kby	196	32	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	197	1	2B	2B	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	197	2	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	197	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	197	4	xrec	xrec	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	197	5	¼	¼	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	197	6	WTy	WTy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	197	7	þ	þ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	197	8	b	b	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	197	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	197	10	6	6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	197	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	197	12	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	197	13	WT	WT	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	197	14	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	197	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	197	16	transpose	transpose	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	197	17	matrix	matrix	NN
work_fljh2g733fa2fnxmkvwa4p3kby	197	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	197	19	W.	W.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	197	20	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	197	21	train	train	VB
work_fljh2g733fa2fnxmkvwa4p3kby	197	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	197	23	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	197	24	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	197	25	i.e.	i.e.	FW
work_fljh2g733fa2fnxmkvwa4p3kby	198	1	optimise	optimise	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	2	W	W	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	198	4	b	b	LS
work_fljh2g733fa2fnxmkvwa4p3kby	198	5	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	198	6	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	198	7	want	want	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	198	8	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	198	9	minimise	minimise	VB
work_fljh2g733fa2fnxmkvwa4p3kby	198	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	198	11	RE	re	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	12	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	198	13	x	x	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	198	15	xrec	xrec	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	16	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	198	17	RE	RE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	18	¼	¼	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	19	XN	XN	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	20	i¼1	i¼1	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	198	21	jjDi	jjDi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	22	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	23	Direc	Direc	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	24	jj22	jj22	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	25	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	198	26	7	7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	198	27	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	198	28	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	198	29	N	n	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	30	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	198	31	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	32	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	198	33	m	m	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	34	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	198	35	dimensional	dimensional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	198	36	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	37	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	198	38	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	198	39	Di	Di	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	40	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	198	41	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	198	42	input	input	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	198	43	sample	sample	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	44	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	198	45	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	198	46	fed	feed	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	198	47	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	198	48	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	198	49	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	50	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	198	51	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	198	52	Direc	Direc	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	53	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	198	54	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	198	55	reconstructed	reconstructed	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	198	56	version	version	NN
work_fljh2g733fa2fnxmkvwa4p3kby	198	57	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	198	58	Eq	Eq	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	198	59	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	199	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	199	2	6	6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	199	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	199	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	200	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	200	2	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	200	3	article	article	NN
work_fljh2g733fa2fnxmkvwa4p3kby	200	4	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	200	5	use	use	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	200	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	200	7	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	200	8	variant	variant	NN
work_fljh2g733fa2fnxmkvwa4p3kby	200	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	200	10	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	200	11	autoencoder	autoencoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	200	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	200	13	DAE	DAE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	200	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	200	15	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	200	16	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	200	17	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	200	18	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	200	19	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	200	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	200	21	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	200	22	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	200	23	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	200	24	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	200	25	corrupts	corrupt	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	200	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	200	27	inputs	input	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	200	28	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	200	29	added	add	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	200	30	noise	noise	NN
work_fljh2g733fa2fnxmkvwa4p3kby	200	31	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	200	32	order	order	NN
work_fljh2g733fa2fnxmkvwa4p3kby	200	33	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	200	34	enhance	enhance	VB
work_fljh2g733fa2fnxmkvwa4p3kby	200	35	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	200	36	generalisation	generalisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	200	37	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	200	38	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	200	39	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	200	40	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	200	41	hence	hence	RB
work_fljh2g733fa2fnxmkvwa4p3kby	200	42	enhance	enhance	VB
work_fljh2g733fa2fnxmkvwa4p3kby	200	43	its	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	200	44	representational	representational	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	200	45	power	power	NN
work_fljh2g733fa2fnxmkvwa4p3kby	200	46	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	201	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	201	2	motivation	motivation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	201	3	behind	behind	IN
work_fljh2g733fa2fnxmkvwa4p3kby	201	4	adding	add	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	201	5	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	201	6	2	2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	201	7	Demonstration	demonstration	NN
work_fljh2g733fa2fnxmkvwa4p3kby	201	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	201	9	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	201	10	stacked	stack	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	201	11	autoencoders	autoencoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	201	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	202	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	202	2	A	a	NN
work_fljh2g733fa2fnxmkvwa4p3kby	202	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	202	4	demonstrates	demonstrate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	202	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	202	6	process	process	NN
work_fljh2g733fa2fnxmkvwa4p3kby	202	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	202	8	con-	con-	NN
work_fljh2g733fa2fnxmkvwa4p3kby	202	9	structing	structe	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	202	10	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	202	11	autoencoder	autoencoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	202	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	203	1	Yellow	yellow	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	203	2	circles	circle	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	203	3	represent	represent	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	203	4	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	203	5	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	203	6	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	203	7	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	203	8	blue	blue	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	203	9	circles	circle	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	203	10	represent	represent	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	203	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	203	12	hidden	hidden	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	203	13	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	203	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	204	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	204	2	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	204	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	204	4	demonstrates	demonstrate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	204	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	204	6	reconstruction	reconstruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	204	7	process	process	NN
work_fljh2g733fa2fnxmkvwa4p3kby	204	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	204	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	204	10	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	204	11	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	204	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	204	13	units	unit	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	204	14	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	204	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	204	16	hidden	hidden	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	204	17	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	204	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	205	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	205	2	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	205	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	205	4	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	205	5	stacked	stack	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	205	6	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	205	7	autoencoder	autoencoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	205	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	206	1	Each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	206	2	dashed	dash	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	206	3	rectangle	rectangle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	206	4	represents	represent	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	206	5	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	206	6	autoencoder	autoencoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	206	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	207	1	X	X	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	207	2	represents	represent	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	207	3	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	207	4	connection	connection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	207	5	corrupted	corrupt	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	207	6	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	207	7	noise	noise	NN
work_fljh2g733fa2fnxmkvwa4p3kby	207	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	208	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	208	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	208	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	208	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	208	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	208	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	208	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	208	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	208	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	208	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	208	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	208	12	fig-2	fig-2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	208	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	208	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	208	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	208	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	208	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	209	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	209	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	209	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	209	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	209	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	209	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	209	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	210	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	210	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	210	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	210	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	210	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	210	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	210	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	210	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	210	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	210	10	9/32	9/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	210	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-2	http://dx.doi.org/10.7717/peerj-cs.252/fig-2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	210	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	210	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	210	14	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	210	15	noise	noise	NN
work_fljh2g733fa2fnxmkvwa4p3kby	210	16	factor	factor	NN
work_fljh2g733fa2fnxmkvwa4p3kby	210	17	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	210	18	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	210	19	avoid	avoid	VB
work_fljh2g733fa2fnxmkvwa4p3kby	210	20	over	over	RB
work_fljh2g733fa2fnxmkvwa4p3kby	210	21	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	210	22	fitting	fitting	NN
work_fljh2g733fa2fnxmkvwa4p3kby	210	23	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	210	24	that	that	DT
work_fljh2g733fa2fnxmkvwa4p3kby	210	25	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	210	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	210	27	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	210	28	learns	learn	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	210	29	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	210	30	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	210	31	only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	210	32	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	210	33	training	training	NN
work_fljh2g733fa2fnxmkvwa4p3kby	210	34	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	210	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	211	1	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	211	2	2C	2c	NN
work_fljh2g733fa2fnxmkvwa4p3kby	211	3	demonstrates	demonstrate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	211	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	211	5	corruption	corruption	NN
work_fljh2g733fa2fnxmkvwa4p3kby	211	6	process	process	NN
work_fljh2g733fa2fnxmkvwa4p3kby	211	7	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	211	8	randomly	randomly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	211	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	211	10	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	211	11	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	211	12	isotropic	isotropic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	211	13	Gaussian	Gaussian	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	211	14	distributed	distribute	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	211	15	noise	noise	NN
work_fljh2g733fa2fnxmkvwa4p3kby	211	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	211	17	assigns	assign	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	211	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	211	19	weight	weight	NN
work_fljh2g733fa2fnxmkvwa4p3kby	211	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	211	21	0	0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	211	22	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	211	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	211	24	link	link	NN
work_fljh2g733fa2fnxmkvwa4p3kby	211	25	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	211	26	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	211	27	nodes	node	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	211	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	212	1	DAEs	dae	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	212	2	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	212	3	trained	train	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	212	4	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	212	5	standard	standard	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	212	6	stochastic	stochastic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	212	7	gradient	gradient	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	212	8	descent	descent	NN
work_fljh2g733fa2fnxmkvwa4p3kby	212	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	212	10	usually	usually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	212	11	perform	perform	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	212	12	significantly	significantly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	212	13	better	well	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	212	14	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	212	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	212	16	standard	standard	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	212	17	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	212	18	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	212	19	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	212	20	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	212	21	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	212	22	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	212	23	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	212	24	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	212	25	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	212	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	213	1	Deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	213	2	architectures	architecture	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	213	3	facilitate	facilitate	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	213	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	213	5	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	213	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	213	7	complicated	complicated	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	213	8	structures	structure	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	213	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	213	10	patterns	pattern	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	213	11	efficiently	efficiently	RB
work_fljh2g733fa2fnxmkvwa4p3kby	213	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	213	13	Ngiam	Ngiam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	213	14	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	213	15	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	213	16	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	213	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	213	18	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	213	19	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	213	20	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	213	21	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	213	22	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	213	23	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	213	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	213	25	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	213	26	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	213	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	214	1	Within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	214	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	214	3	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	214	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	214	5	DAE	DAE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	214	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	214	7	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	214	8	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	214	9	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	214	10	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	214	11	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	214	12	stacking	stack	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	214	13	layers	layer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	214	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	214	15	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	214	16	AEs	ae	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	214	17	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	214	18	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	214	19	trained	train	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	214	20	locally	locally	RB
work_fljh2g733fa2fnxmkvwa4p3kby	214	21	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	214	22	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	214	23	explained	explain	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	214	24	above	above	RB
work_fljh2g733fa2fnxmkvwa4p3kby	214	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	215	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	215	2	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	215	3	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	215	4	hidden	hide	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	215	5	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	215	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	215	7	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	215	8	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	215	9	plays	play	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	215	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	215	11	role	role	NN
work_fljh2g733fa2fnxmkvwa4p3kby	215	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	215	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	215	14	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	215	15	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	215	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	215	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	215	18	deeper	deep	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	215	19	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	215	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	215	21	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	215	22	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	215	23	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	215	24	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	215	25	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	215	26	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	215	27	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	215	28	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	215	29	Fig	fig	NN
work_fljh2g733fa2fnxmkvwa4p3kby	215	30	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	216	1	2C	2C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	216	2	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	216	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	217	1	As	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	217	2	suggested	suggest	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	217	3	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	217	4	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	217	5	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	217	6	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	217	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	218	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	218	2	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	218	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	218	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	218	5	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	218	6	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	218	7	usually	usually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	218	8	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	218	9	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	218	10	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	218	11	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	218	12	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	218	13	dimensionality	dimensionality	NN
work_fljh2g733fa2fnxmkvwa4p3kby	218	14	reduction	reduction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	218	15	followed	follow	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	218	16	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	218	17	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	218	18	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	218	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	218	20	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	219	1	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	219	2	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	219	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	220	1	Alternatively	alternatively	RB
work_fljh2g733fa2fnxmkvwa4p3kby	220	2	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	220	3	additional	additional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	220	4	logistic	logistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	220	5	regression	regression	NN
work_fljh2g733fa2fnxmkvwa4p3kby	220	6	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	220	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	220	8	added	add	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	220	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	220	10	top	top	NN
work_fljh2g733fa2fnxmkvwa4p3kby	220	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	220	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	220	13	encoders	encoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	220	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	220	15	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	220	16	serves	serve	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	220	17	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	220	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	220	19	supervised	supervise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	220	20	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	220	21	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	220	22	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	220	23	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	220	24	Hinton	Hinton	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	220	25	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	220	26	Osindero	Osindero	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	220	27	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	220	28	Teh	Teh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	220	29	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	220	30	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	220	31	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	220	32	Hinton	Hinton	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	220	33	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	220	34	Salakhutdinov	Salakhutdinov	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	220	35	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	220	36	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	220	37	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	220	38	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	221	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	221	2	parameters	parameter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	221	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	221	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	221	5	whole	whole	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	221	6	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	221	7	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	221	8	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	221	9	optimised	optimise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	221	10	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	221	11	standard	standard	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	221	12	gradient	gradient	NN
work_fljh2g733fa2fnxmkvwa4p3kby	221	13	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	221	14	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	221	15	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	221	16	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	221	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	221	18	original	original	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	221	19	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	221	20	playing	play	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	221	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	221	22	role	role	NN
work_fljh2g733fa2fnxmkvwa4p3kby	221	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	221	24	unsupervised	unsupervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	221	25	pre	pre	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	221	26	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	221	27	training	training	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	221	28	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	221	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	222	1	Overall	overall	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	222	2	reconstruction	reconstruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	222	3	error	error	NN
work_fljh2g733fa2fnxmkvwa4p3kby	222	4	Here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	222	5	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	222	6	refer	refer	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	222	7	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	222	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	222	9	RE	re	NN
work_fljh2g733fa2fnxmkvwa4p3kby	222	10	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	222	11	layers	layer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	222	12	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	222	13	local	local	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	222	14	reconstruction	reconstruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	222	15	error	error	NN
work_fljh2g733fa2fnxmkvwa4p3kby	222	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	223	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	223	2	RE	re	NN
work_fljh2g733fa2fnxmkvwa4p3kby	223	3	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	223	4	defined	define	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	223	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	223	6	Eq	Eq	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	223	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	224	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	224	2	7	7	LS
work_fljh2g733fa2fnxmkvwa4p3kby	224	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	224	4	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	224	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	224	6	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	224	7	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	224	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	224	9	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	225	1	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	225	2	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	225	3	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	225	4	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	225	5	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	225	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	225	7	reconstructed	reconstruct	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	225	8	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	225	9	becomes	become	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	225	10	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	225	11	measure	measure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	225	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	225	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	225	14	overall	overall	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	225	15	reconstruction	reconstruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	225	16	error	error	NN
work_fljh2g733fa2fnxmkvwa4p3kby	225	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	225	18	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	225	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	225	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	226	1	Alain	Alain	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	226	2	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	226	3	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	226	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	226	5	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	226	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	226	7	showed	show	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	226	8	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	226	9	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	226	10	minimising	minimise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	226	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	226	12	particular	particular	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	226	13	form	form	NN
work_fljh2g733fa2fnxmkvwa4p3kby	226	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	226	15	regularised	regularised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	226	16	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	226	17	stacked	stack	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	226	18	AEs	ae	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	226	19	capture	capture	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	226	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	226	21	density	density	NN
work_fljh2g733fa2fnxmkvwa4p3kby	226	22	generating	generate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	226	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	226	24	modelled	model	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	226	25	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	226	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	227	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	227	2	motivates	motivate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	227	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	227	4	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	227	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	227	6	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	227	7	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	227	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	227	9	surrogate	surrogate	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	227	10	measure	measure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	227	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	227	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	227	13	‘	'	``
work_fljh2g733fa2fnxmkvwa4p3kby	227	14	goodness	goodness	NN
work_fljh2g733fa2fnxmkvwa4p3kby	227	15	’	'	''
work_fljh2g733fa2fnxmkvwa4p3kby	227	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	227	17	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	227	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	227	19	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	227	20	input	input	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	227	21	example	example	NN
work_fljh2g733fa2fnxmkvwa4p3kby	227	22	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	227	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	227	24	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	227	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	228	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	228	2	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	228	3	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	228	4	suggests	suggest	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	228	5	poor	poor	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	228	6	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	228	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	228	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	228	9	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	228	10	sample	sample	NN
work_fljh2g733fa2fnxmkvwa4p3kby	228	11	while	while	IN
work_fljh2g733fa2fnxmkvwa4p3kby	228	12	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	228	13	small	small	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	228	14	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	228	15	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	228	16	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	228	17	indication	indication	NN
work_fljh2g733fa2fnxmkvwa4p3kby	228	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	228	19	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	228	20	accurate	accurate	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	228	21	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	228	22	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	228	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	228	24	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	228	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	229	1	We	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	229	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	229	3	AlMoubayed	AlMoubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	229	4	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	229	5	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	229	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	230	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	230	2	2016	2016	CD
work_fljh2g733fa2fnxmkvwa4p3kby	230	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	230	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	230	5	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	230	6	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	230	7	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	230	8	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	230	9	indication	indication	NN
work_fljh2g733fa2fnxmkvwa4p3kby	230	10	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	230	11	outlier	outlier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	230	12	detection	detection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	230	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	231	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	231	2	novel	novel	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	231	3	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	231	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	231	5	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	231	6	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	231	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	231	8	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	231	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	231	10	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	231	11	extracted	extract	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	231	12	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	231	13	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	231	14	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	231	15	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	231	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	232	1	As	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	232	2	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	232	3	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	232	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	232	5	trained	train	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	232	6	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	232	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	232	8	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	232	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	232	10	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	232	11	topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	232	12	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	232	13	associated	associate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	232	14	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	232	15	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	232	16	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	232	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	232	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	232	19	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	232	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	232	21	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	232	22	classes	class	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	232	23	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	232	24	produce	produce	VB
work_fljh2g733fa2fnxmkvwa4p3kby	232	25	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	232	26	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	232	27	while	while	IN
work_fljh2g733fa2fnxmkvwa4p3kby	232	28	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	232	29	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	232	30	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	232	31	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	232	32	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	232	33	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	232	34	generate	generate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	232	35	low	low	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	232	36	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	232	37	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	233	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	233	2	results	result	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	233	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	233	4	easily	easily	RB
work_fljh2g733fa2fnxmkvwa4p3kby	233	5	separable	separable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	233	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	233	7	usually	usually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	233	8	linearly	linearly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	233	9	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	233	10	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	233	11	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	233	12	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	233	13	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	233	14	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	233	15	discussed	discuss	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	233	16	later	later	RB
work_fljh2g733fa2fnxmkvwa4p3kby	233	17	on	on	RB
work_fljh2g733fa2fnxmkvwa4p3kby	233	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	234	1	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	234	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	234	3	Courville	Courville	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	234	4	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	234	5	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	234	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	234	7	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	234	8	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	234	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	234	10	Erhan	Erhan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	234	11	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	234	12	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	234	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	235	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	235	2	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	235	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	235	4	demonstrated	demonstrate	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	235	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	235	6	reasons	reason	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	235	7	why	why	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	235	8	unsupervised	unsupervise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	235	9	representational	representational	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	235	10	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	235	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	235	12	including	include	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	235	13	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	235	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	235	15	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	235	16	able	able	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	235	17	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	235	18	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	235	19	complex	complex	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	235	20	structure	structure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	235	21	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	235	22	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	235	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	236	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	236	2	depth	depth	NN
work_fljh2g733fa2fnxmkvwa4p3kby	236	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	236	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	236	5	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	236	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	236	7	defined	define	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	236	8	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	236	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	236	10	path	path	NN
work_fljh2g733fa2fnxmkvwa4p3kby	236	11	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	236	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	236	13	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	236	14	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	236	15	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	236	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	236	17	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	236	18	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	236	19	allows	allow	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	236	20	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	236	21	efficient	efficient	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	236	22	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	236	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	236	24	abstract	abstract	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	236	25	concepts	concept	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	236	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	237	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	237	2	hierarchy	hierarchy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	237	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	237	4	nodes	node	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	237	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	237	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	237	7	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	237	8	works	work	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	237	9	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	237	10	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	237	11	distributed	distribute	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	237	12	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	237	13	processing	processing	NN
work_fljh2g733fa2fnxmkvwa4p3kby	237	14	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	237	15	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	237	16	proved	prove	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	237	17	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	237	18	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	237	19	beneficial	beneficial	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	237	20	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	237	21	many	many	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	237	22	application	application	NN
work_fljh2g733fa2fnxmkvwa4p3kby	237	23	areas	area	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	237	24	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	237	25	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	237	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	237	27	Courville	Courville	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	237	28	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	237	29	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	237	30	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	237	31	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	237	32	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	237	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	238	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	238	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	238	3	next	next	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	238	4	section	section	NN
work_fljh2g733fa2fnxmkvwa4p3kby	238	5	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	238	6	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	238	7	provide	provide	VB
work_fljh2g733fa2fnxmkvwa4p3kby	238	8	further	further	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	238	9	details	detail	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	238	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	238	11	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	238	12	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	238	13	use	use	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	238	14	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	238	15	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	238	16	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	238	17	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	238	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	239	1	Classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	239	2	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	239	3	We	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	239	4	take	take	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	239	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	239	6	supervised	supervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	239	7	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	239	8	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	239	9	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	239	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	240	1	Data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	240	2	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	240	3	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	240	4	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	240	5	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	240	6	first	first	RB
work_fljh2g733fa2fnxmkvwa4p3kby	240	7	transformed	transform	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	240	8	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	240	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	240	10	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	240	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	240	12	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	240	13	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	240	14	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	240	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	240	16	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	240	17	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	240	18	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	240	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	240	20	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	240	21	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	240	22	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	240	23	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	240	24	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	240	25	Topic	Topic	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	240	26	Modeling	Modeling	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	240	27	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	240	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	241	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	241	2	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	241	3	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	241	4	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	241	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	241	6	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	241	7	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	241	8	both	both	DT
work_fljh2g733fa2fnxmkvwa4p3kby	241	9	polarities	polarity	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	241	10	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	241	11	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	241	12	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	241	13	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	241	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	242	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	242	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	242	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	242	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	242	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	242	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	242	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	243	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	243	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	243	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	243	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	243	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	243	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	243	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	243	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	243	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	243	10	10/32	10/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	243	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	243	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	243	13	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	243	14	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	243	15	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	243	16	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	243	17	build	build	VB
work_fljh2g733fa2fnxmkvwa4p3kby	243	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	243	19	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	243	20	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	243	21	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	243	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	243	23	result	result	NN
work_fljh2g733fa2fnxmkvwa4p3kby	243	24	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	243	25	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	243	26	process	process	NN
work_fljh2g733fa2fnxmkvwa4p3kby	243	27	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	243	28	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	243	29	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	243	30	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	243	31	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	243	32	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	243	33	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	243	34	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	243	35	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	243	36	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	243	37	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	243	38	classes	class	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	243	39	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	243	40	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	243	41	polarities	polarity	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	243	42	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	243	43	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	244	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	244	2	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	244	3	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	244	4	all	all	DT
work_fljh2g733fa2fnxmkvwa4p3kby	244	5	classes	class	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	244	6	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	244	7	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	244	8	passed	pass	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	244	9	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	244	10	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	244	11	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	244	12	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	244	13	obtain	obtain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	244	14	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	244	15	OREs	ore	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	244	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	245	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	245	2	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	245	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	245	4	trained	train	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	245	5	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	245	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	245	7	OREs	ore	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	245	8	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	245	9	predict	predict	VB
work_fljh2g733fa2fnxmkvwa4p3kby	245	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	245	11	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	245	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	246	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	246	2	process	process	NN
work_fljh2g733fa2fnxmkvwa4p3kby	246	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	246	4	outlined	outline	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	246	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	246	6	Fig	Fig	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	246	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	247	1	1	1	LS
work_fljh2g733fa2fnxmkvwa4p3kby	247	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	248	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	248	2	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	248	3	example	example	NN
work_fljh2g733fa2fnxmkvwa4p3kby	248	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	248	5	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	248	6	vs.	vs.	IN
work_fljh2g733fa2fnxmkvwa4p3kby	248	7	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	248	8	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	248	9	prediction	prediction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	248	10	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	248	11	targeted	target	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	248	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	249	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	249	2	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	249	3	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	249	4	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	249	5	come	come	VB
work_fljh2g733fa2fnxmkvwa4p3kby	249	6	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	249	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	249	8	wide	wide	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	249	9	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	249	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	249	11	resources	resource	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	249	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	249	13	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	250	1	twitter	twitter	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	250	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	250	3	blogs	blog	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	250	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	250	5	product	product	NN
work_fljh2g733fa2fnxmkvwa4p3kby	250	6	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	250	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	250	8	structured	structured	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	250	9	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	250	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	250	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	251	1	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	251	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	251	3	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	251	4	separately	separately	RB
work_fljh2g733fa2fnxmkvwa4p3kby	251	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	251	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	251	7	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	251	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	251	9	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	251	10	polarities	polarity	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	251	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	251	12	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	251	13	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	251	14	preset	preset	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	251	15	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	251	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	251	17	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	251	18	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	251	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	252	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	252	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	252	3	next	next	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	252	4	phase	phase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	252	5	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	252	6	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	252	7	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	252	8	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	252	9	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	252	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	252	11	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	252	12	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	252	13	architectures	architecture	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	252	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	253	1	All	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	253	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	253	3	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	253	4	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	253	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	253	6	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	253	7	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	253	8	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	253	9	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	253	10	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	253	11	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	253	12	passed	pass	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	253	13	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	253	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	253	15	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	253	16	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	253	17	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	253	18	phases	phase	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	253	19	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	253	20	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	253	21	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	253	22	sample	sample	NN
work_fljh2g733fa2fnxmkvwa4p3kby	253	23	ORE1	ORE1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	253	24	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	253	25	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	253	26	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	253	27	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	253	28	ORE2	ORE2	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	253	29	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	253	30	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	253	31	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	253	32	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	253	33	calculated	calculate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	253	34	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	253	35	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	253	36	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	253	37	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	253	38	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	253	39	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	253	40	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	253	41	final	final	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	253	42	prediction	prediction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	253	43	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	254	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	254	2	motivation	motivation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	254	3	behind	behind	IN
work_fljh2g733fa2fnxmkvwa4p3kby	254	4	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	254	5	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	254	6	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	254	7	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	254	8	summarised	summarise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	254	9	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	254	10	following	follow	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	254	11	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	254	12	�	�	``
work_fljh2g733fa2fnxmkvwa4p3kby	254	13	By	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	254	14	building	build	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	254	15	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	254	16	separate	separate	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	254	17	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	254	18	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	254	19	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	254	20	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	254	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	254	22	OREs	ore	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	254	23	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	254	24	considered	consider	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	254	25	representative	representative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	254	26	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	254	27	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	254	28	much	much	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	254	29	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	254	30	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	254	31	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	254	32	i.e.	i.e.	FW
work_fljh2g733fa2fnxmkvwa4p3kby	255	1	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	255	2	sample	sample	NN
work_fljh2g733fa2fnxmkvwa4p3kby	255	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	255	4	belongs	belong	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	255	5	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	255	6	either	either	DT
work_fljh2g733fa2fnxmkvwa4p3kby	255	7	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	255	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	256	1	Hence	hence	RB
work_fljh2g733fa2fnxmkvwa4p3kby	256	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	256	3	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	256	4	OREs	ore	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	256	5	provide	provide	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	256	6	easily	easily	RB
work_fljh2g733fa2fnxmkvwa4p3kby	256	7	separable	separable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	256	8	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	256	9	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	256	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	256	11	final	final	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	256	12	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	256	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	256	14	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	256	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	256	16	Courville	Courville	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	256	17	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	256	18	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	256	19	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	256	20	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	256	21	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	256	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	257	1	�	�	:
work_fljh2g733fa2fnxmkvwa4p3kby	257	2	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	257	3	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	257	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	257	5	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	257	6	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	257	7	adds	add	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	257	8	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	257	9	extra	extra	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	257	10	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	257	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	257	12	abstraction	abstraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	257	13	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	257	14	helps	help	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	257	15	combine	combine	VB
work_fljh2g733fa2fnxmkvwa4p3kby	257	16	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	257	17	resources	resource	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	257	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	257	19	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	257	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	257	21	handle	handle	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	257	22	adaptive	adaptive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	257	23	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	257	24	continuously	continuously	RB
work_fljh2g733fa2fnxmkvwa4p3kby	257	25	changing	change	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	257	26	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	257	27	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	257	28	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	257	29	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	258	1	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	258	2	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	258	3	social	social	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	258	4	media	medium	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	258	5	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	258	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	258	7	makes	make	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	258	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	258	9	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	258	10	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	258	11	less	less	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	258	12	prone	prone	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	258	13	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	258	14	outliers	outlier	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	258	15	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	258	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	258	17	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	258	18	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	258	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	259	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	259	2	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	259	3	resulted	resulted	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	259	4	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	259	5	requires	require	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	259	6	only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	259	7	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	259	8	parameters	parameter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	259	9	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	259	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	259	11	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	259	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	259	13	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	259	14	necessary	necessary	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	259	15	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	259	16	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	259	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	259	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	259	19	architecture	architecture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	259	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	259	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	259	22	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	259	23	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	259	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	260	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	260	2	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	260	3	Results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	260	4	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	260	5	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	260	6	analyse	analyse	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	260	7	carefully	carefully	RB
work_fljh2g733fa2fnxmkvwa4p3kby	260	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	260	9	effect	effect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	260	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	260	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	260	12	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	260	13	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	260	14	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	260	15	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	260	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	260	17	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	260	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	260	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	260	20	whole	whole	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	260	21	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	260	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	261	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	261	2	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	261	3	architecture	architecture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	261	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	261	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	261	6	much	much	RB
work_fljh2g733fa2fnxmkvwa4p3kby	261	7	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	261	8	difficult	difficult	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	261	9	parameter	parameter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	261	10	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	261	11	tune	tune	NN
work_fljh2g733fa2fnxmkvwa4p3kby	261	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	261	13	usually	usually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	261	14	depends	depend	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	261	15	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	261	16	skilled	skilled	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	261	17	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	261	18	designer	designer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	261	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	262	1	DATA	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	262	2	SETS	SETS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	262	3	AND	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	262	4	EXPERIMENTS	experiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	262	5	Here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	262	6	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	262	7	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	262	8	focus	focus	VB
work_fljh2g733fa2fnxmkvwa4p3kby	262	9	mainly	mainly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	262	10	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	262	11	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	262	12	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	262	13	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	262	14	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	262	15	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	262	16	example	example	NN
work_fljh2g733fa2fnxmkvwa4p3kby	262	17	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	262	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	262	19	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	262	20	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	262	21	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	262	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	263	1	Sentiment	sentiment	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	263	2	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	263	3	covers	cover	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	263	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	263	5	wide	wide	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	263	6	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	263	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	263	8	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	263	9	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	263	10	applications	application	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	263	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	264	1	One	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	264	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	264	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	264	4	most	most	RBS
work_fljh2g733fa2fnxmkvwa4p3kby	264	5	common	common	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	264	6	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	264	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	264	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	264	9	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	264	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	264	11	product	product	NN
work_fljh2g733fa2fnxmkvwa4p3kby	264	12	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	264	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	264	14	such	such	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	264	15	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	264	16	movies	movie	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	264	17	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	264	18	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	264	19	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	264	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	264	21	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	264	22	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	264	23	neutral	neutral	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	264	24	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	264	25	Lin	Lin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	26	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	264	27	He	He	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	28	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	264	29	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	264	30	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	264	31	Maas	Maas	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	32	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	264	33	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	34	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	35	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	264	36	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	264	37	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	264	38	Nguyen	Nguyen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	39	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	40	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	41	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	42	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	264	43	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	264	44	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	264	45	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	46	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	264	47	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	48	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	264	49	Vaithyanathan	Vaithyanathan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	50	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	264	51	2002	2002	CD
work_fljh2g733fa2fnxmkvwa4p3kby	264	52	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	264	53	Wu	Wu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	54	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	264	55	Pao	Pao	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	264	56	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	264	57	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	264	58	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	264	59	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	265	1	Another	another	DT
work_fljh2g733fa2fnxmkvwa4p3kby	265	2	popular	popular	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	265	3	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	265	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	265	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	265	6	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	265	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	265	8	social	social	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	265	9	media	medium	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	265	10	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	265	11	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	265	12	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	265	13	specifically	specifically	RB
work_fljh2g733fa2fnxmkvwa4p3kby	265	14	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	265	15	twitter	twitter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	265	16	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	265	17	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	265	18	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	265	19	Bravo	Bravo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	20	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	265	21	Marquez	Marquez	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	265	23	Mendoza	Mendoza	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	24	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	265	25	Poblete	Poblete	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	265	27	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	265	28	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	265	29	Saif	Saif	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	30	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	265	31	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	32	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	33	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	265	34	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	265	35	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	265	36	Tang	Tang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	37	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	265	38	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	39	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	265	40	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	265	41	2014a	2014a	CD
work_fljh2g733fa2fnxmkvwa4p3kby	265	42	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	265	43	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	266	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	266	2	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	266	3	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	266	4	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	266	5	study	study	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	266	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	266	7	application	application	NN
work_fljh2g733fa2fnxmkvwa4p3kby	266	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	266	9	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	266	10	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	266	11	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	266	12	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	266	13	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	266	14	providing	provide	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	266	15	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	266	16	wide	wide	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	266	17	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	266	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	266	19	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	266	20	sizes	size	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	266	21	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	266	22	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	266	23	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	266	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	267	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	267	2	unify	unify	VB
work_fljh2g733fa2fnxmkvwa4p3kby	267	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	267	4	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	267	5	under	under	IN
work_fljh2g733fa2fnxmkvwa4p3kby	267	6	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	267	7	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	267	8	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	267	9	restrict	restrict	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	267	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	267	11	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	267	12	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	267	13	dual	dual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	267	14	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	267	15	problems	problem	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	267	16	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	267	17	i.e.	i.e.	FW
work_fljh2g733fa2fnxmkvwa4p3kby	268	1	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	268	2	classes	class	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	268	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	268	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	269	1	We	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	269	2	limit	limit	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	269	3	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	269	4	selection	selection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	269	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	269	6	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	269	7	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	269	8	those	those	DT
work_fljh2g733fa2fnxmkvwa4p3kby	269	9	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	269	10	manually	manually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	269	11	labelled	label	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	269	12	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	269	13	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	269	14	average	average	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	269	15	ratings	rating	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	269	16	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	269	17	annotators	annotator	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	269	18	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	269	19	guarantee	guarantee	VB
work_fljh2g733fa2fnxmkvwa4p3kby	269	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	269	21	reliability	reliability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	269	22	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	269	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	269	24	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	269	25	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	269	26	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	269	27	reported	report	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	269	28	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	269	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	270	1	As	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	270	2	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	270	3	example	example	NN
work_fljh2g733fa2fnxmkvwa4p3kby	270	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	270	5	additional	additional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	270	6	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	270	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	270	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	270	9	detection	detection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	270	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	270	11	spam	spam	NN
work_fljh2g733fa2fnxmkvwa4p3kby	270	12	SMS	sms	NN
work_fljh2g733fa2fnxmkvwa4p3kby	270	13	messages	message	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	270	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	271	1	We	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	271	2	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	271	3	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	271	4	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	271	5	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	271	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	271	7	evidence	evidence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	271	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	271	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	271	10	generalisation	generalisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	271	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	271	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	271	13	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	271	14	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	271	15	beyond	beyond	IN
work_fljh2g733fa2fnxmkvwa4p3kby	271	16	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	271	17	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	271	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	272	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	272	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	272	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	272	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	272	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	273	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	273	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	273	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	273	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	273	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	273	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	273	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	274	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	274	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	274	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	274	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	274	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	274	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	274	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	274	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	274	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	274	10	11/32	11/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	274	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	274	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	274	13	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	274	14	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	274	15	summarises	summarise	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	274	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	274	17	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	274	18	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	274	19	including	include	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	274	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	274	21	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	274	22	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	274	23	performed	perform	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	274	24	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	274	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	274	26	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	274	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	274	28	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	274	29	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	274	30	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	274	31	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	275	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	275	2	following	follow	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	275	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	275	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	275	5	brief	brief	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	275	6	description	description	NN
work_fljh2g733fa2fnxmkvwa4p3kby	275	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	275	8	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	275	9	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	275	10	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	275	11	�	�	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	275	12	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	275	13	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	275	14	Review	Review	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	275	15	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	275	16	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	275	17	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	275	18	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	275	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	275	20	Maas	Maas	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	275	21	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	275	22	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	275	23	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	275	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	275	25	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	275	26	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	275	27	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	275	28	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	275	29	50,000	50,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	275	30	selected	select	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	275	31	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	275	32	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	275	33	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	275	34	internet	internet	NN
work_fljh2g733fa2fnxmkvwa4p3kby	275	35	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	275	36	database	database	NN
work_fljh2g733fa2fnxmkvwa4p3kby	275	37	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	275	38	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	275	39	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	275	40	archive	archive	NN
work_fljh2g733fa2fnxmkvwa4p3kby	275	41	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	275	42	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	275	43	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	275	44	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	276	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	276	2	maximum	maximum	NN
work_fljh2g733fa2fnxmkvwa4p3kby	276	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	276	4	30	30	CD
work_fljh2g733fa2fnxmkvwa4p3kby	276	5	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	276	6	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	276	7	allowed	allow	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	276	8	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	276	9	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	276	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	277	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	277	2	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	277	3	contains	contain	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	277	4	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	277	5	equal	equal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	277	6	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	277	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	277	8	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	277	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	277	10	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	277	11	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	277	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	278	1	Reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	278	2	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	278	3	scored	score	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	278	4	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	278	5	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	278	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	278	7	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	278	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	279	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	279	2	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	279	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	279	4	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	279	5	if	if	IN
work_fljh2g733fa2fnxmkvwa4p3kby	279	6	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	279	7	rating	rate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	279	8	≥7	≥7	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	279	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	279	10	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	279	11	if	if	IN
work_fljh2g733fa2fnxmkvwa4p3kby	279	12	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	279	13	5	5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	279	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	280	1	Neutral	neutral	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	280	2	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	280	3	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	280	4	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	280	5	included	include	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	280	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	280	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	280	8	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	280	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	281	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	281	2	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	281	3	Reviews	Reviews	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	281	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	281	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	281	6	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	281	7	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	281	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	281	9	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	281	10	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	281	11	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	281	12	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	281	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	281	14	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	281	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	281	16	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	281	17	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	281	18	Vaithyanathan	Vaithyanathan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	281	19	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	281	20	2002	2002	CD
work_fljh2g733fa2fnxmkvwa4p3kby	281	21	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	281	22	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	281	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	281	24	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	281	25	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	281	26	collected	collect	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	281	27	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	281	28	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	281	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	282	1	Only	only	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	282	2	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	282	3	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	282	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	282	5	author	author	NN
work_fljh2g733fa2fnxmkvwa4p3kby	282	6	rating	rating	NN
work_fljh2g733fa2fnxmkvwa4p3kby	282	7	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	282	8	expressed	express	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	282	9	either	either	CC
work_fljh2g733fa2fnxmkvwa4p3kby	282	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	282	11	stars	star	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	282	12	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	282	13	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	282	14	numerical	numerical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	282	15	value	value	NN
work_fljh2g733fa2fnxmkvwa4p3kby	282	16	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	282	17	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	282	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	283	1	Ratings	rating	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	283	2	were	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	283	3	automatically	automatically	RB
work_fljh2g733fa2fnxmkvwa4p3kby	283	4	extracted	extract	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	283	5	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	283	6	converted	convert	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	283	7	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	283	8	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	283	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	283	10	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	283	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	283	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	283	13	neutral	neutral	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	283	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	284	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	284	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	284	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	284	4	their	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	284	5	original	original	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	284	6	paper	paper	NN
work_fljh2g733fa2fnxmkvwa4p3kby	284	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	284	8	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	284	9	limited	limit	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	284	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	284	11	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	284	12	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	284	13	only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	284	14	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	284	15	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	284	16	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	284	17	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	284	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	285	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	285	2	avoid	avoid	VB
work_fljh2g733fa2fnxmkvwa4p3kby	285	3	bias	bias	NN
work_fljh2g733fa2fnxmkvwa4p3kby	285	4	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	285	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	285	6	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	285	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	285	8	limit	limit	NN
work_fljh2g733fa2fnxmkvwa4p3kby	285	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	285	10	20	20	CD
work_fljh2g733fa2fnxmkvwa4p3kby	285	11	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	285	12	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	285	13	author	author	NN
work_fljh2g733fa2fnxmkvwa4p3kby	285	14	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	285	15	allowed	allow	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	285	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	286	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	286	2	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	286	3	Reviews	Reviews	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	286	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	286	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	286	6	scale	scale	NN
work_fljh2g733fa2fnxmkvwa4p3kby	286	7	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	286	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	286	9	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	286	10	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	286	11	Rev2	Rev2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	286	12	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	286	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	286	14	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	286	15	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	286	16	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	286	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	286	18	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	286	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	286	20	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	286	21	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	286	22	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	286	23	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	286	24	collected	collect	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	286	25	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	286	26	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	286	27	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	286	28	four	four	CD
work_fljh2g733fa2fnxmkvwa4p3kby	286	29	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	286	30	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	287	1	Explicit	explicit	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	287	2	rating	rating	NN
work_fljh2g733fa2fnxmkvwa4p3kby	287	3	indicators	indicator	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	287	4	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	287	5	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	287	6	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	287	7	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	287	8	automatically	automatically	RB
work_fljh2g733fa2fnxmkvwa4p3kby	287	9	removed	remove	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	287	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	288	1	Annotators	annotator	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	288	2	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	288	3	asked	ask	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	288	4	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	288	5	rate	rate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	288	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	288	7	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	288	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	288	9	rank	rank	VB
work_fljh2g733fa2fnxmkvwa4p3kby	288	10	them	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	288	11	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	288	12	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	288	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	288	14	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	288	15	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	288	16	ratings	rating	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	288	17	averaged	average	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	288	18	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	288	19	review	review	NN
work_fljh2g733fa2fnxmkvwa4p3kby	288	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	289	1	Only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	289	2	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	289	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	289	4	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	289	5	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	289	6	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	289	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	289	8	extremes	extreme	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	289	9	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	289	10	kept	keep	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	289	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	290	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	290	2	Subjectivity	subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	290	3	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	290	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	290	5	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	290	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	290	7	Sub	Sub	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	290	8	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	290	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	290	10	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	290	11	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	290	12	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	290	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	290	14	2004	2004	CD
work_fljh2g733fa2fnxmkvwa4p3kby	290	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	290	16	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	290	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	290	18	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	290	19	looks	look	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	290	20	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	290	21	subjective	subjective	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	290	22	vs.	vs.	FW
work_fljh2g733fa2fnxmkvwa4p3kby	290	23	objective	objective	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	290	24	phrases	phrase	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	290	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	291	1	For	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	291	2	subjective	subjective	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	291	3	phrases	phrase	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	291	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	291	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	291	6	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	291	7	collected	collect	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	291	8	5,000	5,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	291	9	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	291	10	review	review	NN
work_fljh2g733fa2fnxmkvwa4p3kby	291	11	snippets	snippet	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	291	12	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	291	13	www.rottentomatoes.com	www.rottentomatoes.com	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	291	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	292	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	292	2	obtain	obtain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	292	3	objective	objective	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	292	4	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	292	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	292	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	292	7	collection	collection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	292	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	292	9	5,000	5,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	292	10	sentences	sentence	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	292	11	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	292	12	plot	plot	NN
work_fljh2g733fa2fnxmkvwa4p3kby	292	13	summaries	summary	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	292	14	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	292	15	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	292	16	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	292	17	were	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	292	18	taken	take	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	292	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	293	1	�	�	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	293	2	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	293	3	SI650—Sentiment	SI650—Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	293	4	Classification	Classification	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	293	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	293	6	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	293	7	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	293	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	293	9	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	293	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	293	11	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	293	12	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	293	13	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	293	14	contains	contain	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	293	15	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	293	16	extracted	extract	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	293	17	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	293	18	social	social	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	293	19	media	medium	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	293	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	293	21	blogs	blog	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	293	22	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	293	23	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	293	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	293	25	goal	goal	NN
work_fljh2g733fa2fnxmkvwa4p3kby	293	26	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	293	27	classifying	classify	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	293	28	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	293	29	blog	blog	NN
work_fljh2g733fa2fnxmkvwa4p3kby	293	30	posts	post	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	293	31	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	293	32	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	293	33	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	293	34	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	293	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	294	1	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	294	2	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	294	3	Datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	294	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	295	1	Dataset	Dataset	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	295	2	ID	ID	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	295	3	Task	Task	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	295	4	No	No	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	295	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	296	1	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	296	2	I	i	NN
work_fljh2g733fa2fnxmkvwa4p3kby	296	3	No	no	UH
work_fljh2g733fa2fnxmkvwa4p3kby	296	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	297	1	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	297	2	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	297	3	IMDB	IMDB	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	297	4	Positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	297	5	vs.	vs.	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	298	1	Negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	298	2	12,500	12,500	CD
work_fljh2g733fa2fnxmkvwa4p3kby	298	3	12,500	12,500	CD
work_fljh2g733fa2fnxmkvwa4p3kby	298	4	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	298	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	298	6	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	298	7	Positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	298	8	vs.	vs.	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	299	1	Negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	299	2	5,331	5,331	CD
work_fljh2g733fa2fnxmkvwa4p3kby	299	3	5,331	5,331	CD
work_fljh2g733fa2fnxmkvwa4p3kby	299	4	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	299	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	299	6	Rev2	Rev2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	299	7	Positive	Positive	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	299	8	vs.	vs.	''
work_fljh2g733fa2fnxmkvwa4p3kby	300	1	Negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	300	2	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	300	3	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	300	4	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	300	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	300	6	Sub	Sub	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	300	7	Subjective	Subjective	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	300	8	vs.	vs.	IN
work_fljh2g733fa2fnxmkvwa4p3kby	301	1	Objective	objective	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	301	2	5,000	5,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	301	3	5,000	5,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	301	4	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	301	5	Positive	Positive	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	301	6	vs.	vs.	IN
work_fljh2g733fa2fnxmkvwa4p3kby	302	1	Negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	302	2	3,091	3,091	CD
work_fljh2g733fa2fnxmkvwa4p3kby	302	3	3,995	3,995	CD
work_fljh2g733fa2fnxmkvwa4p3kby	302	4	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	302	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	302	6	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	302	7	Positive	Positive	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	302	8	vs.	vs.	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	303	1	Negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	303	2	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	303	3	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	303	4	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	303	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	303	6	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	303	7	Positive	Positive	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	303	8	vs.	vs.	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	304	1	Negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	304	2	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	304	3	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	304	4	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	304	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	304	6	E	e	NN
work_fljh2g733fa2fnxmkvwa4p3kby	304	7	Positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	304	8	vs.	vs.	NN
work_fljh2g733fa2fnxmkvwa4p3kby	305	1	Negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	305	2	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	305	3	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	305	4	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	305	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	305	6	K	K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	305	7	Positive	Positive	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	305	8	vs.	vs.	IN
work_fljh2g733fa2fnxmkvwa4p3kby	306	1	Negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	306	2	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	306	3	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	306	4	SMS	SMS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	306	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	306	6	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	306	7	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	306	8	vs.	vs.	FW
work_fljh2g733fa2fnxmkvwa4p3kby	306	9	Ham	Ham	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	306	10	747	747	CD
work_fljh2g733fa2fnxmkvwa4p3kby	306	11	4,827	4,827	CD
work_fljh2g733fa2fnxmkvwa4p3kby	306	12	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	306	13	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	306	14	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	306	15	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	306	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	307	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	307	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	307	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	307	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	307	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	307	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	307	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	308	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	308	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	308	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	308	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	308	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	10	12/32	12/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	308	11	https://www.rottentomatoes.com	https://www.rottentomatoes.com	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	308	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	308	14	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	15	Multi	multi	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	308	16	-	-	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	17	Domain	Domain	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	18	Sentiment	Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	19	Dataset	Dataset	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	21	Blitzer	Blitzer	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	308	23	Dredze	Dredze	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	24	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	308	25	Pereira	Pereira	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	308	27	2007	2007	CD
work_fljh2g733fa2fnxmkvwa4p3kby	308	28	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	29	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	308	30	contains	contain	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	308	31	product	product	NN
work_fljh2g733fa2fnxmkvwa4p3kby	308	32	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	308	33	taken	take	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	308	34	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	308	35	Amazon.com	Amazon.com	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	36	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	308	37	4	4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	308	38	product	product	NN
work_fljh2g733fa2fnxmkvwa4p3kby	308	39	domains	domain	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	308	40	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	308	41	books	book	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	308	42	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	43	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	44	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	308	45	B	B	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	46	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	47	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	308	48	DVDs	dvd	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	308	49	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	50	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	51	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	308	52	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	53	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	54	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	308	55	Electronics	Electronics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	56	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	57	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	58	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	308	59	E	E	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	60	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	61	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	308	62	Kitchen	Kitchen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	63	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	64	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	65	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	308	66	K	K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	308	67	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	308	68	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	309	1	Each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	309	2	domain	domain	NN
work_fljh2g733fa2fnxmkvwa4p3kby	309	3	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	309	4	several	several	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	309	5	thousand	thousand	CD
work_fljh2g733fa2fnxmkvwa4p3kby	309	6	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	309	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	310	1	Reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	310	2	contain	contain	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	310	3	star	star	NN
work_fljh2g733fa2fnxmkvwa4p3kby	310	4	ratings	rating	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	310	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	310	6	1–5	1–5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	310	7	stars	star	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	310	8	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	310	9	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	310	10	ratings	rating	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	310	11	≥4	≥4	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	310	12	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	310	13	labelled	label	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	310	14	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	310	15	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	310	16	≤2	≤2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	310	17	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	310	18	labelled	label	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	310	19	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	310	20	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	310	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	310	22	rest	rest	NN
work_fljh2g733fa2fnxmkvwa4p3kby	310	23	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	310	24	discarded	discard	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	310	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	311	1	After	after	IN
work_fljh2g733fa2fnxmkvwa4p3kby	311	2	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	311	3	filtering	filter	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	311	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	311	5	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	311	6	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	311	7	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	311	8	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	311	9	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	311	10	examples	example	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	311	11	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	311	12	domain	domain	NN
work_fljh2g733fa2fnxmkvwa4p3kby	311	13	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	311	14	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	311	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	312	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	2	SMS	SMS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	3	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	4	Collection	Collection	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	5	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	6	Set	Set	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	312	8	SMS	SMS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	312	10	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	312	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	312	13	Almeida	Almeida	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	312	15	Hidalgo	Hidalgo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	16	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	312	17	Yamakami	Yamakami	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	312	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	312	19	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	312	20	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	312	21	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	312	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	312	23	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	312	24	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	312	25	collected	collect	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	312	26	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	312	27	free	free	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	312	28	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	312	29	free	free	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	312	30	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	312	31	research	research	NN
work_fljh2g733fa2fnxmkvwa4p3kby	312	32	sources	source	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	312	33	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	312	34	online	online	RB
work_fljh2g733fa2fnxmkvwa4p3kby	312	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	313	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	313	2	SMS	sms	NN
work_fljh2g733fa2fnxmkvwa4p3kby	313	3	messages	message	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	313	4	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	313	5	manually	manually	RB
work_fljh2g733fa2fnxmkvwa4p3kby	313	6	labelled	label	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	313	7	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	313	8	ham	ham	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	313	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	313	10	real	real	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	313	11	message	message	NN
work_fljh2g733fa2fnxmkvwa4p3kby	313	12	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	313	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	313	14	spam	spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	313	15	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	313	16	unsolicited	unsolicited	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	313	17	messages	message	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	313	18	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	313	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	314	1	Experiment	experiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	2	setup	setup	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	3	As	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	314	4	discussed	discuss	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	314	5	earlier	early	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	314	6	there	there	EX
work_fljh2g733fa2fnxmkvwa4p3kby	314	7	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	314	8	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	314	9	parameters	parameter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	314	10	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	314	11	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	314	12	set	set	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	314	13	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	314	14	every	every	DT
work_fljh2g733fa2fnxmkvwa4p3kby	314	15	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	16	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	314	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	314	18	I	i	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	314	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	314	21	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	22	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	314	23	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	314	24	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	314	25	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	314	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	314	27	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	28	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	29	phase	phase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	30	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	314	31	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	314	32	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	314	33	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	34	architecture	architecture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	314	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	315	1	For	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	315	2	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	315	3	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	315	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	315	5	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	315	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	315	7	possible	possible	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	315	8	numbers	number	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	315	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	315	10	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	315	11	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	315	12	tested	test	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	315	13	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	315	14	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	315	15	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	315	16	300	300	CD
work_fljh2g733fa2fnxmkvwa4p3kby	315	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	316	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	316	2	architecture	architecture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	316	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	316	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	316	5	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	316	6	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	316	7	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	316	8	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	316	9	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	316	10	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	316	11	selected	select	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	316	12	experimentally	experimentally	RB
work_fljh2g733fa2fnxmkvwa4p3kby	316	13	but	but	CC
work_fljh2g733fa2fnxmkvwa4p3kby	316	14	all	all	DT
work_fljh2g733fa2fnxmkvwa4p3kby	316	15	shared	share	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	316	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	316	17	need	need	NN
work_fljh2g733fa2fnxmkvwa4p3kby	316	18	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	316	19	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	316	20	input	input	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	316	21	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	316	22	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	316	23	similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	316	24	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	316	25	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	316	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	316	27	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	316	28	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	316	29	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	316	30	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	316	31	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	316	32	hidden	hidden	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	316	33	stacked	stack	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	316	34	layers	layer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	316	35	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	316	36	increasing	increase	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	316	37	sizes	size	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	316	38	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	317	1	All	all	DT
work_fljh2g733fa2fnxmkvwa4p3kby	317	2	units	unit	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	317	3	had	have	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	317	4	sigmoid	sigmoid	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	317	5	activation	activation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	317	6	functions	function	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	317	7	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	317	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	317	9	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	317	10	rate	rate	NN
work_fljh2g733fa2fnxmkvwa4p3kby	317	11	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	317	12	set	set	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	317	13	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	317	14	0.1	0.1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	317	15	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	317	16	corruption	corruption	NN
work_fljh2g733fa2fnxmkvwa4p3kby	317	17	rate	rate	NN
work_fljh2g733fa2fnxmkvwa4p3kby	317	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	317	19	30	30	CD
work_fljh2g733fa2fnxmkvwa4p3kby	317	20	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	317	21	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	317	22	normally	normally	RB
work_fljh2g733fa2fnxmkvwa4p3kby	317	23	distributed	distribute	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	317	24	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	317	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	318	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	318	2	learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	318	3	algorithm	algorithm	NN
work_fljh2g733fa2fnxmkvwa4p3kby	318	4	ran	run	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	318	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	318	6	100	100	CD
work_fljh2g733fa2fnxmkvwa4p3kby	318	7	epochs	epoch	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	318	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	319	1	Another	another	DT
work_fljh2g733fa2fnxmkvwa4p3kby	319	2	important	important	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	319	3	technical	technical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	319	4	aspect	aspect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	319	5	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	319	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	319	7	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	319	8	mentioned	mention	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	319	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	319	10	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	319	11	Classification	Classification	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	319	12	Approach	Approach	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	319	13	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	319	14	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	319	15	predict	predict	VB
work_fljh2g733fa2fnxmkvwa4p3kby	319	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	319	17	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	319	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	320	1	Before	before	IN
work_fljh2g733fa2fnxmkvwa4p3kby	320	2	deciding	decide	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	320	3	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	320	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	320	5	best	good	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	320	6	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	7	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	8	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	320	9	take	take	VB
work_fljh2g733fa2fnxmkvwa4p3kby	320	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	320	11	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	320	12	look	look	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	320	13	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	320	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	320	15	separability	separability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	320	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	320	18	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	320	19	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	320	20	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	320	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	320	22	combined	combine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	320	23	LDA+SDA	lda+sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	24	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	25	compared	compare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	320	26	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	320	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	320	28	projected	project	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	320	29	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	30	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	31	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	320	32	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	320	33	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	320	34	2D	2d	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	320	35	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	36	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	320	37	Principle	Principle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	320	38	Component	Component	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	320	39	Analysis	Analysis	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	320	40	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	320	41	PCA	PCA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	320	42	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	320	43	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	320	44	t	t	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	45	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	320	46	Distributed	distribute	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	320	47	Stochastic	Stochastic	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	320	48	Neighbour	Neighbour	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	320	49	Embedding	embedding	NN
work_fljh2g733fa2fnxmkvwa4p3kby	320	50	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	320	51	t	t	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	320	52	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	320	53	SNE	SNE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	320	54	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	320	55	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	321	1	Figures	figure	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	321	2	3	3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	321	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	321	4	4	4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	321	5	show	show	NN
work_fljh2g733fa2fnxmkvwa4p3kby	321	6	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	321	7	scatter	scatter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	321	8	plots	plot	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	321	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	321	10	separability	separability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	321	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	321	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	321	13	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	321	14	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	321	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	321	16	problems	problem	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	321	17	tested	test	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	321	18	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	321	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	322	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	322	2	figures	figure	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	322	3	show	show	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	322	4	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	322	5	left	leave	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	322	6	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	322	7	right	right	NN
work_fljh2g733fa2fnxmkvwa4p3kby	322	8	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	322	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	322	10	I	i	NN
work_fljh2g733fa2fnxmkvwa4p3kby	322	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	322	12	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	322	13	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	322	14	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	322	15	first	first	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	322	16	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	322	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	322	18	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	322	19	I	I	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	322	20	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	322	21	vs.	vs.	XX
work_fljh2g733fa2fnxmkvwa4p3kby	323	1	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	323	2	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	323	3	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	323	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	323	5	second	second	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	323	6	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	323	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	323	8	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	323	9	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	323	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	323	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	324	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	324	2	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	324	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	324	4	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	324	5	features	feature	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	324	6	projected	project	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	324	7	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	324	8	PCA	PCA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	324	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	324	10	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	324	11	unsupervised	unsupervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	324	12	linear	linear	NN
work_fljh2g733fa2fnxmkvwa4p3kby	324	13	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	324	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	324	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	325	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	325	2	III	III	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	325	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	325	4	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	325	5	features	feature	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	325	6	projected	project	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	325	7	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	325	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	325	9	2D	2d	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	325	10	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	325	11	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	325	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	325	13	first	first	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	325	14	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	325	15	components	component	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	325	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	325	17	t	t	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	325	18	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	325	19	SNE	SNE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	325	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	325	21	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	325	22	unsupervised	unsupervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	325	23	non	non	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	325	24	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	325	25	linear	linear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	325	26	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	325	27	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	325	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	326	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	326	2	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	326	3	demonstrate	demonstrate	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	326	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	326	5	huge	huge	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	326	6	benefit	benefit	NN
work_fljh2g733fa2fnxmkvwa4p3kby	326	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	326	8	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	326	9	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	326	10	following	follow	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	326	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	326	12	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	326	13	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	326	14	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	326	15	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	326	16	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	326	17	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	326	18	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	326	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	327	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	327	2	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	327	3	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	327	4	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	327	5	massively	massively	RB
work_fljh2g733fa2fnxmkvwa4p3kby	327	6	overlapped	overlap	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	327	7	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	327	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	327	9	classes	class	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	327	10	hence	hence	RB
work_fljh2g733fa2fnxmkvwa4p3kby	327	11	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	327	12	requires	require	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	327	13	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	327	14	dimensional	dimensional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	327	15	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	327	16	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	327	17	get	get	VB
work_fljh2g733fa2fnxmkvwa4p3kby	327	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	327	19	reasonable	reasonable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	327	20	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	327	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	328	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	328	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	328	3	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	328	4	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	328	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	328	6	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	328	7	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	328	8	OREs	ore	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	328	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	328	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	328	11	only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	328	12	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	328	13	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	328	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	328	15	separability	separability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	328	16	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	328	17	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	328	18	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	328	19	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	328	20	makes	make	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	328	21	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	328	22	easier	easy	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	328	23	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	328	24	even	even	RB
work_fljh2g733fa2fnxmkvwa4p3kby	328	25	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	328	26	simple	simple	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	328	27	linear	linear	NN
work_fljh2g733fa2fnxmkvwa4p3kby	328	28	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	328	29	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	328	30	achieve	achieve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	328	31	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	328	32	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	328	33	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	328	34	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	328	35	formal	formal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	328	36	discussion	discussion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	328	37	will	will	MD
work_fljh2g733fa2fnxmkvwa4p3kby	328	38	follow	follow	VB
work_fljh2g733fa2fnxmkvwa4p3kby	328	39	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	328	40	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	328	41	Discriminability	Discriminability	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	328	42	Analysis	Analysis	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	328	43	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	328	44	Simulations	Simulations	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	328	45	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	328	46	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	328	47	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	329	1	To	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	329	2	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	329	3	end	end	NN
work_fljh2g733fa2fnxmkvwa4p3kby	329	4	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	329	5	considered	consider	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	329	6	three	three	CD
work_fljh2g733fa2fnxmkvwa4p3kby	329	7	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	329	8	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	329	9	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	329	10	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	329	11	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	329	12	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	329	13	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	329	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	329	15	OBC	OBC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	329	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	329	17	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	329	18	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	329	19	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	329	20	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	329	21	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	329	22	simple	simple	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	329	23	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	329	24	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	329	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	329	26	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	329	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	329	28	both	both	DT
work_fljh2g733fa2fnxmkvwa4p3kby	329	29	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	329	30	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	329	31	compared	compare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	329	32	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	329	33	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	329	34	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	329	35	associated	associate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	329	36	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	329	37	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	329	38	smaller	small	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	329	39	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	329	40	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	329	41	marked	mark	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	329	42	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	329	43	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	329	44	predicted	predict	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	329	45	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	329	46	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	330	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	330	2	Softmax	Softmax	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	330	3	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	330	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	330	5	SoftSDA	softsda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	330	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	330	7	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	330	8	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	330	9	additional	additional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	330	10	softmax	softmax	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	330	11	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	330	12	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	330	13	added	add	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	330	14	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	330	15	top	top	NN
work_fljh2g733fa2fnxmkvwa4p3kby	330	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	330	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	330	18	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	330	19	already	already	RB
work_fljh2g733fa2fnxmkvwa4p3kby	330	20	trained	train	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	330	21	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	330	22	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	330	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	331	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	331	2	softmax	softmax	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	331	3	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	331	4	transforms	transform	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	331	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	331	6	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	331	7	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	331	8	probabilities	probability	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	331	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	332	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	332	2	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	332	3	corresponding	correspond	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	332	4	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	332	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	332	6	highest	high	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	332	7	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	332	8	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	332	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	332	10	predicted	predict	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	332	11	outcome	outcome	NN
work_fljh2g733fa2fnxmkvwa4p3kby	332	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	333	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	333	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	333	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	333	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	333	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	334	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	334	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	334	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	334	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	334	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	334	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	334	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	335	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	335	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	335	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	335	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	335	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	10	13/32	13/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	335	11	http://Amazon.com	http://Amazon.com	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	335	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	335	14	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	15	Fisher	Fisher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	16	Discriminant	Discriminant	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	17	Analysis	Analysis	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	18	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	335	19	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	335	21	FDA+SDA	fda+sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	335	22	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	335	23	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	335	24	instead	instead	RB
work_fljh2g733fa2fnxmkvwa4p3kby	335	25	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	335	26	adding	add	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	335	27	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	335	28	softmax	softmax	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	29	layer	layer	NN
work_fljh2g733fa2fnxmkvwa4p3kby	335	30	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	335	31	FDA+SDA	fda+sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	335	32	uses	use	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	335	33	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	335	34	OREs	ore	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	335	35	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	335	36	both	both	DT
work_fljh2g733fa2fnxmkvwa4p3kby	335	37	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	335	38	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	335	39	train	train	VB
work_fljh2g733fa2fnxmkvwa4p3kby	335	40	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	335	41	FDA	FDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	335	42	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	335	43	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	336	1	FDA	FDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	336	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	336	3	particularly	particularly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	336	4	suitable	suitable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	336	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	336	6	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	336	7	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	336	8	given	give	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	336	9	its	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	336	10	linear	linear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	336	11	nature	nature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	336	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	337	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	337	2	better	well	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	337	3	understand	understand	VB
work_fljh2g733fa2fnxmkvwa4p3kby	337	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	337	5	behaviour	behaviour	NN
work_fljh2g733fa2fnxmkvwa4p3kby	337	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	337	7	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	337	8	combined	combine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	337	9	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	337	10	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	337	11	compare	compare	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	337	12	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	337	13	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	337	14	four	four	CD
work_fljh2g733fa2fnxmkvwa4p3kby	337	15	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	337	16	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	337	17	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	337	18	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	337	19	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	337	20	Topic	Topic	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	337	21	Modelling	Modelling	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	337	22	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	337	23	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	337	24	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	337	25	TM+SVM	TM+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	337	26	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	337	27	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	337	28	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	337	29	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	337	30	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	337	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	337	32	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	337	33	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	337	34	passed	pass	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	337	35	through	through	IN
work_fljh2g733fa2fnxmkvwa4p3kby	337	36	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	337	37	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	337	38	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	337	39	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	337	40	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	337	41	both	both	DT
work_fljh2g733fa2fnxmkvwa4p3kby	337	42	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	337	43	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	337	44	e.g.	e.g.	RB
work_fljh2g733fa2fnxmkvwa4p3kby	338	1	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	338	2	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	338	3	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	338	4	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	338	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	339	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	339	2	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	339	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	339	4	both	both	DT
work_fljh2g733fa2fnxmkvwa4p3kby	339	5	LDAs	lda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	339	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	339	7	i.e.	i.e.	FW
work_fljh2g733fa2fnxmkvwa4p3kby	340	1	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	340	2	probabilities	probability	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	340	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	340	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	340	5	document	document	NN
work_fljh2g733fa2fnxmkvwa4p3kby	340	6	belonging	belong	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	340	7	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	340	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	340	9	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	340	10	related	relate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	340	11	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	340	12	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	340	13	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	340	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	340	15	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	340	16	combined	combine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	340	17	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	340	18	generate	generate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	340	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	340	20	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	340	21	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	340	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	341	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	341	2	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	341	3	vectors	vector	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	341	4	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	341	5	classified	classify	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	341	6	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	341	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	341	8	support	support	NN
work_fljh2g733fa2fnxmkvwa4p3kby	341	9	vector	vector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	341	10	machine	machine	NN
work_fljh2g733fa2fnxmkvwa4p3kby	341	11	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	341	12	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	341	13	Gaussian	gaussian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	341	14	kernel	kernel	NN
work_fljh2g733fa2fnxmkvwa4p3kby	341	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	342	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	342	2	Topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	342	3	Modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	342	4	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	342	5	Confidence	confidence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	342	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	342	7	SVMs	svm	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	342	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	342	9	TM+CSVM	tm+csvm	NN
work_fljh2g733fa2fnxmkvwa4p3kby	342	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	342	11	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	342	12	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	342	13	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	342	14	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	342	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	342	16	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	342	17	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	342	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	342	19	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	342	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	342	21	S1	s1	NN
work_fljh2g733fa2fnxmkvwa4p3kby	342	22	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	342	23	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	342	24	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	342	25	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	342	26	build	build	VB
work_fljh2g733fa2fnxmkvwa4p3kby	342	27	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	342	28	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	342	29	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	342	30	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	342	31	discriminate	discriminate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	342	32	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	342	33	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	342	34	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	342	35	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	342	36	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	342	37	S1	s1	UH
work_fljh2g733fa2fnxmkvwa4p3kby	342	38	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	342	39	S2	S2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	342	40	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	342	41	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	343	1	Similarly	similarly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	343	2	another	another	DT
work_fljh2g733fa2fnxmkvwa4p3kby	343	3	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	343	4	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	343	5	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	343	6	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	343	7	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	343	8	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	343	9	S2	S2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	343	10	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	343	11	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	343	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	344	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	344	2	final	final	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	344	3	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	344	4	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	344	5	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	344	6	decided	decide	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	344	7	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	344	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	344	9	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	344	10	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	344	11	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	344	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	344	13	highest	high	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	344	14	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	344	15	confidence	confidence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	344	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	345	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	345	2	Topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	345	3	Modelling	Modelling	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	345	4	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	345	5	Logistic	Logistic	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	345	6	Regression	Regression	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	345	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	345	8	TM+LR	TM+LR	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	345	9	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	345	10	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	345	11	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	345	12	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	345	13	equivalent	equivalent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	345	14	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	345	15	TM+SVM	TM+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	345	16	after	after	IN
work_fljh2g733fa2fnxmkvwa4p3kby	345	17	replacing	replace	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	345	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	345	19	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	345	20	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	345	21	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	345	22	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	345	23	regularised	regularised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	345	24	logistic	logistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	345	25	regression	regression	NN
work_fljh2g733fa2fnxmkvwa4p3kby	345	26	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	345	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	346	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	346	2	Topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	346	3	Modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	346	4	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	346	5	Confidence	Confidence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	346	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	346	7	LRs	LRs	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	346	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	346	9	TM+CLR	TM+CLR	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	346	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	346	11	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	346	12	similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	346	13	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	346	14	TM+CSVM	TM+CSVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	346	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	346	16	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	346	17	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	346	18	builds	build	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	346	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	346	20	separate	separate	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	346	21	regularised	regularise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	346	22	logistic	logistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	346	23	regression	regression	NN
work_fljh2g733fa2fnxmkvwa4p3kby	346	24	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	346	25	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	346	26	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	346	27	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	346	28	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	346	29	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	346	30	confidence	confidence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	346	31	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	346	32	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	346	33	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	346	34	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	346	35	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	346	36	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	346	37	make	make	VB
work_fljh2g733fa2fnxmkvwa4p3kby	346	38	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	346	39	final	final	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	346	40	decision	decision	NN
work_fljh2g733fa2fnxmkvwa4p3kby	346	41	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	347	1	For	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	347	2	every	every	DT
work_fljh2g733fa2fnxmkvwa4p3kby	347	3	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	4	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	347	5	use	use	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	347	6	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	347	7	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	347	8	fold	fold	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	347	9	cross	cross	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	10	validation	validation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	11	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	12	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	347	13	evaluate	evaluate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	347	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	347	15	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	347	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	347	18	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	19	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	347	20	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	347	21	variable	variable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	347	22	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	347	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	347	25	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	26	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	347	27	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	347	28	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	347	29	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	347	30	seven	seven	CD
work_fljh2g733fa2fnxmkvwa4p3kby	347	31	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	347	32	strategies	strategy	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	347	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	348	1	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	348	2	Results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	348	3	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	348	4	details	detail	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	348	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	348	6	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	348	7	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	348	8	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	348	9	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	348	10	comparison	comparison	NN
work_fljh2g733fa2fnxmkvwa4p3kby	348	11	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	348	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	348	13	state	state	NN
work_fljh2g733fa2fnxmkvwa4p3kby	348	14	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	348	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	348	16	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	348	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	348	18	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	348	19	art	art	NN
work_fljh2g733fa2fnxmkvwa4p3kby	348	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	348	21	every	every	DT
work_fljh2g733fa2fnxmkvwa4p3kby	348	22	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	348	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	349	1	Baseline	baseline	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	349	2	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	349	3	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	349	4	establish	establish	VB
work_fljh2g733fa2fnxmkvwa4p3kby	349	5	baseline	baseline	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	349	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	349	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	349	8	compare	compare	VB
work_fljh2g733fa2fnxmkvwa4p3kby	349	9	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	349	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	349	11	state	state	NN
work_fljh2g733fa2fnxmkvwa4p3kby	349	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	349	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	349	14	art	art	NN
work_fljh2g733fa2fnxmkvwa4p3kby	349	15	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	349	16	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	349	17	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	349	18	implemented	implement	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	349	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	349	20	list	list	NN
work_fljh2g733fa2fnxmkvwa4p3kby	349	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	349	22	common	common	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	349	23	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	349	24	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	349	25	approaches	approach	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	349	26	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	349	27	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	349	28	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	349	29	across	across	IN
work_fljh2g733fa2fnxmkvwa4p3kby	349	30	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	349	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	349	32	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	349	33	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	349	34	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	349	35	BagOfWords+SVM	BagOfWords+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	349	36	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	349	37	bag	bag	NN
work_fljh2g733fa2fnxmkvwa4p3kby	349	38	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	349	39	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	349	40	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	349	41	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	349	42	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	349	43	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	349	44	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	349	45	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	349	46	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	349	47	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	349	48	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	349	49	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	349	50	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	350	1	�	�	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	350	2	Bigram+SVM	Bigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	350	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	350	4	Unigram+SVM	Unigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	350	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	350	6	bigram	bigram	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	350	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	350	8	unigrams	unigrams	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	350	9	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	350	10	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	350	11	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	350	12	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	350	13	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	350	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	350	15	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	350	16	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	350	17	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	350	18	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	350	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	350	20	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	350	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	351	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	351	2	LDA+SVM	lda+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	351	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	351	4	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	351	5	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	351	6	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	351	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	351	8	built	build	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	351	9	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	351	10	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	351	11	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	351	12	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	351	13	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	351	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	351	15	training	training	NN
work_fljh2g733fa2fnxmkvwa4p3kby	351	16	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	351	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	351	18	completely	completely	RB
work_fljh2g733fa2fnxmkvwa4p3kby	351	19	unsupervised	unsupervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	351	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	352	1	Number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	352	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	352	3	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	352	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	352	5	selected	select	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	352	6	similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	352	7	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	352	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	352	9	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	352	10	taken	take	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	352	11	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	352	12	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	352	13	paper	paper	NN
work_fljh2g733fa2fnxmkvwa4p3kby	352	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	353	1	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	353	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	353	3	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	353	4	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	353	5	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	353	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	353	7	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	353	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	354	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	354	2	Lexical+SVM	lexical+svm	NN
work_fljh2g733fa2fnxmkvwa4p3kby	354	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	354	4	sentiWordNet	sentiWordNet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	354	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	354	6	Baccianella	Baccianella	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	354	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	354	8	Esuli	Esuli	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	354	9	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	354	10	Sebastiani	Sebastiani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	354	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	354	12	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	354	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	354	14	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	354	15	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	354	16	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	354	17	extract	extract	VB
work_fljh2g733fa2fnxmkvwa4p3kby	354	18	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	354	19	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	354	20	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	354	21	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	354	22	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	354	23	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	354	24	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	354	25	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	354	26	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	354	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	355	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	355	2	Glove+LSTM	Glove+LSTM	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	355	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	355	4	glove	glove	VB
work_fljh2g733fa2fnxmkvwa4p3kby	355	5	English	english	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	355	6	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	355	7	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	355	8	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	355	9	implemented	implement	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	355	10	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	355	11	spaCy	spacy	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	355	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	355	13	Spacy	Spacy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	355	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	355	15	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	355	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	355	17	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	355	18	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	355	19	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	355	20	line	line	NN
work_fljh2g733fa2fnxmkvwa4p3kby	355	21	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	355	22	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	355	23	Long	long	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	355	24	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	355	25	Short	Short	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	355	26	Term	Term	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	355	27	Memory	Memory	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	355	28	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	355	29	LSTM	LSTM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	355	30	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	355	31	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	355	32	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	355	33	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	355	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	356	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	356	2	optimisation	optimisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	356	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	356	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	356	5	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	356	6	parameters	parameter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	356	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	356	8	done	do	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	356	9	independently	independently	RB
work_fljh2g733fa2fnxmkvwa4p3kby	356	10	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	356	11	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	356	12	test	test	NN
work_fljh2g733fa2fnxmkvwa4p3kby	356	13	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	356	14	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	356	15	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	356	16	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	356	17	Hong	Hong	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	356	18	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	356	19	Fang	Fang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	356	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	356	21	2015	2015	CD
work_fljh2g733fa2fnxmkvwa4p3kby	356	22	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	356	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	357	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	357	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	357	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	357	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	357	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	358	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	358	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	358	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	358	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	358	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	358	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	358	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	359	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	359	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	359	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	359	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	359	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	359	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	359	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	359	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	359	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	359	10	14/32	14/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	359	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	359	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	359	13	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	359	14	3	3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	359	15	Feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	359	16	separability	separability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	359	17	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	359	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	359	19	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	359	20	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	359	21	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	359	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	360	1	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	360	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	360	3	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	360	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	360	5	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	360	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	360	7	Rev2	Rev2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	360	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	360	9	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	360	10	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	360	11	Sub	Sub	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	360	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	360	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	360	14	SMS-	SMS-	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	360	15	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	360	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	361	1	Blue	blue	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	361	2	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	361	3	orange	orange	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	361	4	represent	represent	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	361	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	361	6	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	361	7	polarities	polarity	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	361	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	361	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	361	10	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	361	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	362	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	362	2	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	362	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	362	4	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	362	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	362	6	G	G	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	362	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	362	8	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	362	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	362	10	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	362	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	362	12	Demonstrate	demonstrate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	362	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	362	14	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	362	15	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	362	16	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	362	17	first	first	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	362	18	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	362	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	362	20	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	362	21	I	I	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	362	22	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	362	23	vs.	vs.	XX
work_fljh2g733fa2fnxmkvwa4p3kby	363	1	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	2	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	363	3	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	363	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	363	5	second	second	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	363	6	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	363	8	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	9	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	363	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	363	12	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	363	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	363	14	E	e	NN
work_fljh2g733fa2fnxmkvwa4p3kby	363	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	363	16	H	h	NN
work_fljh2g733fa2fnxmkvwa4p3kby	363	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	363	18	K	k	NN
work_fljh2g733fa2fnxmkvwa4p3kby	363	19	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	363	20	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	21	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	363	22	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	23	features	feature	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	363	24	projected	project	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	363	25	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	363	26	PCA	PCA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	27	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	363	28	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	29	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	363	30	F	F	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	31	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	363	32	I	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	363	33	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	363	34	L	l	NN
work_fljh2g733fa2fnxmkvwa4p3kby	363	35	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	363	36	O	O	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	37	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	363	38	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	39	features	feature	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	363	40	projected	project	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	363	41	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	363	42	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	363	43	2D	2d	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	363	44	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	363	45	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	363	46	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	363	47	first	first	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	363	48	components	component	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	363	49	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	363	50	t	t	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	51	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	363	52	SNE	SNE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	363	53	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	364	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	364	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	364	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	364	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	364	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	364	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	364	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	364	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	364	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	364	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	364	11	/	/	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	364	12	fig-3	fig-3	UH
work_fljh2g733fa2fnxmkvwa4p3kby	364	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	364	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	364	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	364	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	364	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	365	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	365	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	365	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	365	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	365	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	365	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	365	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	366	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	366	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	366	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	366	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	366	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	366	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	366	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	366	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	366	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	366	10	15/32	15/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	366	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-3	http://dx.doi.org/10.7717/peerj-cs.252/fig-3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	366	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	366	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	366	14	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	366	15	4	4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	366	16	Feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	366	17	separability	separability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	366	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	366	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	366	20	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	366	21	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	366	22	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	366	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	367	1	MDSD	mdsd	NN
work_fljh2g733fa2fnxmkvwa4p3kby	367	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	367	3	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	367	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	367	5	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	367	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	367	7	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	367	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	367	9	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	367	10	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	367	11	E	E	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	367	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	367	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	367	14	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	367	15	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	367	16	K.	K.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	367	17	Blue	Blue	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	367	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	367	19	orange	orange	NN
work_fljh2g733fa2fnxmkvwa4p3kby	367	20	represent	represent	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	367	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	367	22	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	367	23	polarities	polarity	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	367	24	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	367	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	367	26	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	367	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	368	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	368	2	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	368	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	368	4	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	368	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	368	6	G	G	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	368	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	368	8	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	368	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	368	10	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	368	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	368	12	demonstrate	demonstrate	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	368	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	368	14	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	368	15	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	368	16	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	368	17	first	first	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	368	18	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	368	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	368	20	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	368	21	I	I	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	368	22	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	368	23	vs.	vs.	XX
work_fljh2g733fa2fnxmkvwa4p3kby	369	1	ORE	ORE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	2	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	369	3	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	369	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	369	5	second	second	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	369	6	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	369	8	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	9	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	369	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	369	12	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	369	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	369	14	E	e	NN
work_fljh2g733fa2fnxmkvwa4p3kby	369	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	369	16	H	h	NN
work_fljh2g733fa2fnxmkvwa4p3kby	369	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	369	18	K	k	NN
work_fljh2g733fa2fnxmkvwa4p3kby	369	19	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	369	20	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	21	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	369	22	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	23	features	feature	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	369	24	projected	project	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	369	25	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	369	26	PCA	PCA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	27	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	369	28	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	29	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	369	30	F	F	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	31	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	369	32	I	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	369	33	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	369	34	L	l	NN
work_fljh2g733fa2fnxmkvwa4p3kby	369	35	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	369	36	O	O	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	37	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	369	38	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	39	features	feature	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	369	40	projected	project	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	369	41	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	369	42	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	369	43	2D	2d	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	369	44	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	369	45	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	369	46	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	369	47	first	first	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	369	48	components	component	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	369	49	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	369	50	t	t	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	51	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	369	52	SNE	SNE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	369	53	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	370	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	370	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	370	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	370	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	370	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	370	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	370	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	370	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	370	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	370	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	370	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	370	12	fig-4	fig-4	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	370	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	370	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	370	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	370	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	370	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	371	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	371	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	371	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	371	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	371	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	371	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	371	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	372	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	372	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	372	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	372	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	372	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	372	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	372	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	372	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	372	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	372	10	16/32	16/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	372	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-4	http://dx.doi.org/10.7717/peerj-cs.252/fig-4	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	372	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	372	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	372	14	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	372	15	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	372	16	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	372	17	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	372	18	most	most	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	372	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	372	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	372	21	base	base	NN
work_fljh2g733fa2fnxmkvwa4p3kby	372	22	line	line	NN
work_fljh2g733fa2fnxmkvwa4p3kby	372	23	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	372	24	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	372	25	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	372	26	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	372	27	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	372	28	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	372	29	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	372	30	most	most	RBS
work_fljh2g733fa2fnxmkvwa4p3kby	372	31	commonly	commonly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	372	32	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	372	33	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	372	34	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	372	35	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	372	36	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	372	37	do	do	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	372	38	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	372	39	use	use	VB
work_fljh2g733fa2fnxmkvwa4p3kby	372	40	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	372	41	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	372	42	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	373	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	373	2	linear	linear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	373	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	373	4	Gaussian	gaussian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	373	5	kernels	kernel	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	373	6	were	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	373	7	tested	test	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	373	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	373	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	373	10	choice	choice	NN
work_fljh2g733fa2fnxmkvwa4p3kby	373	11	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	373	12	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	373	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	373	14	cross	cross	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	373	15	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	373	16	validation	validation	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	373	17	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	373	18	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	373	19	selected	select	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	373	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	374	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	374	2	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	374	3	fold	fold	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	374	4	cross	cross	NN
work_fljh2g733fa2fnxmkvwa4p3kby	374	5	validation	validation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	374	6	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	374	7	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	374	8	across	across	IN
work_fljh2g733fa2fnxmkvwa4p3kby	374	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	374	10	board	board	NN
work_fljh2g733fa2fnxmkvwa4p3kby	374	11	including	include	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	374	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	374	13	baseline	baseline	NN
work_fljh2g733fa2fnxmkvwa4p3kby	374	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	374	15	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	374	16	proposed	propose	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	374	17	approaches	approach	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	374	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	375	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	375	2	cross	cross	NN
work_fljh2g733fa2fnxmkvwa4p3kby	375	3	validation	validation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	375	4	split	split	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	375	5	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	375	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	375	7	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	375	8	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	375	9	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	375	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	375	11	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	375	12	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	375	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	375	14	training	training	NN
work_fljh2g733fa2fnxmkvwa4p3kby	375	15	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	375	16	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	375	17	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	375	18	optimise	optimise	VB
work_fljh2g733fa2fnxmkvwa4p3kby	375	19	any	any	DT
work_fljh2g733fa2fnxmkvwa4p3kby	375	20	parameters	parameter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	375	21	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	375	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	375	23	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	375	24	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	375	25	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	375	26	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	375	27	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	375	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	376	1	More	More	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	376	2	details	detail	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	376	3	about	about	IN
work_fljh2g733fa2fnxmkvwa4p3kby	376	4	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	376	5	wider	wide	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	376	6	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	376	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	376	8	comparisons	comparison	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	376	9	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	376	10	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	376	11	found	find	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	376	12	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	376	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	376	14	cited	cited	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	376	15	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	376	16	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	376	17	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	376	18	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	376	19	explained	explain	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	376	20	above	above	RB
work_fljh2g733fa2fnxmkvwa4p3kby	376	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	377	1	RESULTS	RESULTS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	377	2	Figure	Figure	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	377	3	5	5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	377	4	uses	use	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	377	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	377	6	scatter	scatter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	377	7	plot	plot	NN
work_fljh2g733fa2fnxmkvwa4p3kby	377	8	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	377	9	demonstrate	demonstrate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	377	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	377	11	improvement	improvement	NN
work_fljh2g733fa2fnxmkvwa4p3kby	377	12	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	377	13	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	377	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	377	15	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	377	16	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	377	17	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	377	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	377	19	compared	compare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	377	20	baseline	baseline	NN
work_fljh2g733fa2fnxmkvwa4p3kby	377	21	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	377	22	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	377	23	almost	almost	RB
work_fljh2g733fa2fnxmkvwa4p3kby	377	24	every	every	DT
work_fljh2g733fa2fnxmkvwa4p3kby	377	25	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	377	26	studied	study	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	377	27	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	377	28	despite	despite	IN
work_fljh2g733fa2fnxmkvwa4p3kby	377	29	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	377	30	wide	wide	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	377	31	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	377	32	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	377	33	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	377	34	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	377	35	challenges	challenge	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	377	36	offered	offer	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	377	37	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	377	38	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	377	39	sets	set	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	377	40	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	378	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	378	2	Fig	Fig	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	378	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	379	1	5	5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	379	2	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	379	3	most	most	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	379	4	shapes	shape	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	379	5	in	in	RB
work_fljh2g733fa2fnxmkvwa4p3kby	379	6	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	379	7	above	above	IN
work_fljh2g733fa2fnxmkvwa4p3kby	379	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	379	9	equilibrium	equilibrium	NN
work_fljh2g733fa2fnxmkvwa4p3kby	379	10	line	line	NN
work_fljh2g733fa2fnxmkvwa4p3kby	379	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	379	12	but	but	CC
work_fljh2g733fa2fnxmkvwa4p3kby	379	13	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	379	14	t	t	NN
work_fljh2g733fa2fnxmkvwa4p3kby	379	15	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	379	16	test	test	NN
work_fljh2g733fa2fnxmkvwa4p3kby	379	17	does	do	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	379	18	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	379	19	show	show	VB
work_fljh2g733fa2fnxmkvwa4p3kby	379	20	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	379	21	significant	significant	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	379	22	difference	difference	NN
work_fljh2g733fa2fnxmkvwa4p3kby	379	23	p	p	NN
work_fljh2g733fa2fnxmkvwa4p3kby	379	24	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	379	25	0.05	0.05	CD
work_fljh2g733fa2fnxmkvwa4p3kby	379	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	380	1	Glove+LSTM	Glove+LSTM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	380	2	seems	seem	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	380	3	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	380	4	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	380	5	dominant	dominant	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	380	6	across	across	IN
work_fljh2g733fa2fnxmkvwa4p3kby	380	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	380	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	380	9	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	380	10	baseline	baseline	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	380	11	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	380	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	381	1	Removing	remove	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	381	2	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	381	3	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	381	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	381	5	comparison	comparison	NN
work_fljh2g733fa2fnxmkvwa4p3kby	381	6	set	set	NN
work_fljh2g733fa2fnxmkvwa4p3kby	381	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	381	8	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	381	9	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	381	10	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	381	11	base	base	NN
work_fljh2g733fa2fnxmkvwa4p3kby	381	12	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	381	13	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	381	14	significantly	significantly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	381	15	better	well	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	381	16	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	381	17	p	p	NN
work_fljh2g733fa2fnxmkvwa4p3kby	381	18	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	381	19	0.05	0.05	CD
work_fljh2g733fa2fnxmkvwa4p3kby	381	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	382	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	382	2	strongly	strongly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	382	3	suggest	suggest	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	382	4	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	382	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	382	6	proposed	propose	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	382	7	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	382	8	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	382	9	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	382	10	comparable	comparable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	382	11	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	382	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	382	13	much	much	RB
work_fljh2g733fa2fnxmkvwa4p3kby	382	14	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	382	15	computationally	computationally	RB
work_fljh2g733fa2fnxmkvwa4p3kby	382	16	expensive	expensive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	382	17	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	382	18	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	382	19	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	382	20	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	382	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	383	1	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	383	2	6	6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	383	3	summarises	summarise	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	383	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	383	5	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	383	6	achieved	achieve	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	383	7	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	383	8	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	383	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	383	10	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	383	11	approaches	approach	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	383	12	proposed	propose	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	383	13	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	383	14	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	383	15	study	study	NN
work_fljh2g733fa2fnxmkvwa4p3kby	383	16	when	when	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	383	17	applied	apply	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	383	18	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	383	19	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	383	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	383	21	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	383	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	384	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	384	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	384	3	following	following	NN
work_fljh2g733fa2fnxmkvwa4p3kby	384	4	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	384	5	discuss	discuss	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	384	6	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	384	7	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	384	8	5	5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	384	9	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	384	10	scatter	scatter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	384	11	plot	plot	NN
work_fljh2g733fa2fnxmkvwa4p3kby	384	12	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	384	13	compare	compare	VB
work_fljh2g733fa2fnxmkvwa4p3kby	384	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	384	15	best	good	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	384	16	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	384	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	384	18	compared	compare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	384	19	baseline	baseline	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	384	20	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	384	21	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	384	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	384	23	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	384	24	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	384	25	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	384	26	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	384	27	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	384	28	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	384	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	385	1	If	if	IN
work_fljh2g733fa2fnxmkvwa4p3kby	385	2	dots	dot	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	385	3	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	385	4	below	below	IN
work_fljh2g733fa2fnxmkvwa4p3kby	385	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	385	6	line	line	NN
work_fljh2g733fa2fnxmkvwa4p3kby	385	7	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	385	8	mean	mean	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	385	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	385	10	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	385	11	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	385	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	385	13	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	385	14	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	385	15	better	well	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	385	16	otherwise	otherwise	RB
work_fljh2g733fa2fnxmkvwa4p3kby	385	17	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	385	18	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	385	19	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	385	20	better	well	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	385	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	386	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	386	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	386	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	386	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	386	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	386	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	386	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	386	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	386	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	386	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	386	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	386	12	fig-5	fig-5	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	386	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	386	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	386	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	386	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	386	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	387	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	387	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	387	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	387	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	387	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	387	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	387	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	388	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	388	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	388	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	388	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	388	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	388	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	388	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	388	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	388	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	388	10	17/32	17/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	388	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-5	http://dx.doi.org/10.7717/peerj-cs.252/fig-5	VB
work_fljh2g733fa2fnxmkvwa4p3kby	388	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	388	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	388	14	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	388	15	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	388	16	more	more	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	388	17	details	detail	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	388	18	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	388	19	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	388	20	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	388	21	compare	compare	VB
work_fljh2g733fa2fnxmkvwa4p3kby	388	22	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	388	23	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	388	24	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	388	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	388	26	state	state	NN
work_fljh2g733fa2fnxmkvwa4p3kby	388	27	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	388	28	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	388	29	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	388	30	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	388	31	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	388	32	art	art	NN
work_fljh2g733fa2fnxmkvwa4p3kby	388	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	389	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	389	2	“	"	``
work_fljh2g733fa2fnxmkvwa4p3kby	389	3	Discussion	Discussion	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	389	4	”	"	''
work_fljh2g733fa2fnxmkvwa4p3kby	389	5	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	389	6	analyse	analyse	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	389	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	389	8	reasons	reason	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	389	9	behind	behind	IN
work_fljh2g733fa2fnxmkvwa4p3kby	389	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	389	11	advantage	advantage	NN
work_fljh2g733fa2fnxmkvwa4p3kby	389	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	389	13	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	389	14	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	389	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	390	1	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	390	2	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	390	3	review	review	NN
work_fljh2g733fa2fnxmkvwa4p3kby	390	4	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	390	5	Figure	Figure	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	390	6	7A	7a	NN
work_fljh2g733fa2fnxmkvwa4p3kby	390	7	details	detail	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	390	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	390	9	accuracies	accuracy	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	390	10	per	per	IN
work_fljh2g733fa2fnxmkvwa4p3kby	390	11	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	390	12	scheme	scheme	NN
work_fljh2g733fa2fnxmkvwa4p3kby	390	13	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	390	14	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	390	15	coded	code	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	390	16	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	390	17	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	390	18	colours	colour	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	390	19	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	390	20	shapes	shape	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	390	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	391	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	391	2	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	391	3	illustrates	illustrate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	391	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	391	5	change	change	NN
work_fljh2g733fa2fnxmkvwa4p3kby	391	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	391	7	cross	cross	NN
work_fljh2g733fa2fnxmkvwa4p3kby	391	8	validation	validation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	391	9	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	391	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	391	11	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	391	12	increased	increase	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	391	13	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	391	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	391	15	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	391	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	392	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	392	2	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	392	3	vary	vary	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	392	4	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	392	5	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	392	6	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	392	7	FDA+SDA	FDA+SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	392	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	392	9	OBC	OBC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	392	10	outperforming	outperform	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	392	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	392	12	rest	rest	NN
work_fljh2g733fa2fnxmkvwa4p3kby	392	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	392	14	showing	show	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	392	15	consistent	consistent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	392	16	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	392	17	regardless	regardless	RB
work_fljh2g733fa2fnxmkvwa4p3kby	392	18	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	392	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	392	20	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	392	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	392	22	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	392	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	393	1	SoftSDA	SoftSDA	``
work_fljh2g733fa2fnxmkvwa4p3kby	393	2	achieves	achieve	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	393	3	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	393	4	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	393	5	but	but	CC
work_fljh2g733fa2fnxmkvwa4p3kby	393	6	only	only	RB
work_fljh2g733fa2fnxmkvwa4p3kby	393	7	when	when	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	393	8	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	393	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	393	10	small	small	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	393	11	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	393	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	393	13	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	393	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	394	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	394	2	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	394	3	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	394	4	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	394	5	bypass	bypass	NN
work_fljh2g733fa2fnxmkvwa4p3kby	394	6	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	394	7	achieve	achieve	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	394	8	much	much	RB
work_fljh2g733fa2fnxmkvwa4p3kby	394	9	lower	low	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	394	10	accuracies	accuracy	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	394	11	even	even	RB
work_fljh2g733fa2fnxmkvwa4p3kby	394	12	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	394	13	low	low	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	394	14	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	394	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	394	16	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	394	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	395	1	Maas	Maas	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	395	2	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	395	3	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	395	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	396	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	396	2	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	396	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	396	4	compared	compare	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	396	5	their	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	396	6	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	396	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	396	8	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	396	9	uses	use	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	396	10	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	396	11	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	396	12	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	396	13	like	like	IN
work_fljh2g733fa2fnxmkvwa4p3kby	396	14	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	396	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	396	16	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	396	17	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	396	18	common	common	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	396	19	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	396	20	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	396	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	396	22	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	396	23	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	396	24	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	396	25	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	396	26	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	396	27	fold	fold	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	396	28	cross	cross	NN
work_fljh2g733fa2fnxmkvwa4p3kby	396	29	validation	validation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	396	30	scheme	scheme	NN
work_fljh2g733fa2fnxmkvwa4p3kby	396	31	similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	396	32	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	396	33	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	396	34	validation	validation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	396	35	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	396	36	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	396	37	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	397	1	Another	another	DT
work_fljh2g733fa2fnxmkvwa4p3kby	397	2	comparison	comparison	NN
work_fljh2g733fa2fnxmkvwa4p3kby	397	3	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	397	4	reported	report	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	397	5	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	397	6	Socher	Socher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	397	7	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	397	8	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	397	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	398	1	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	398	2	6	6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	398	3	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	398	4	colour	colour	NN
work_fljh2g733fa2fnxmkvwa4p3kby	398	5	map	map	NN
work_fljh2g733fa2fnxmkvwa4p3kby	398	6	visualising	visualise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	398	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	398	8	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	398	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	398	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	398	11	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	398	12	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	398	13	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	398	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	398	15	ten	ten	CD
work_fljh2g733fa2fnxmkvwa4p3kby	398	16	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	398	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	399	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	399	2	colour	colour	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	3	scale	scale	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	4	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	399	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	399	6	right	right	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	399	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	399	9	figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	10	clarifies	clarifie	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	399	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	399	12	colour	colour	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	13	code	code	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	14	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	399	15	dark	dark	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	399	16	blue	blue	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	399	17	indicating	indicate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	399	18	low	low	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	399	19	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	20	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	21	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	399	22	dark	dark	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	399	23	red	red	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	399	24	reflects	reflect	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	399	25	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	399	26	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	27	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	399	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	400	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	400	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	400	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	400	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	400	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	400	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	400	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	400	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	400	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	400	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	400	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	400	12	fig-6	fig-6	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	400	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	400	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	400	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	400	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	400	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	401	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	401	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	401	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	401	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	401	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	401	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	401	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	402	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	402	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	402	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	402	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	402	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	10	18/32	18/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	402	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-6	http://dx.doi.org/10.7717/peerj-cs.252/fig-6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	402	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	402	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	402	14	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	15	7	7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	402	16	Detailed	detailed	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	402	17	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	402	18	showing	show	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	402	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	402	20	change	change	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	21	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	402	22	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	23	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	402	24	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	25	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	402	26	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	402	27	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	402	28	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	402	29	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	30	schemes	scheme	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	402	31	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	402	32	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	402	33	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	402	34	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	402	35	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	36	A	a	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	37	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	38	IMDB	imdb	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	39	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	402	40	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	41	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	42	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	43	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	44	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	402	45	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	46	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	402	47	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	48	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	49	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	50	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	51	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	402	52	Rev2	Rev2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	53	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	402	54	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	55	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	56	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	57	Movie-	Movie-	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	58	Sub	Sub	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	59	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	402	60	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	61	E	e	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	62	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	63	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	64	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	402	65	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	402	66	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	67	F	f	NN
work_fljh2g733fa2fnxmkvwa4p3kby	402	68	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	402	69	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	402	70	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	402	71	B.	B.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	403	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	403	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	403	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	403	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	403	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	403	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	403	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	403	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	403	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	403	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	403	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	403	12	fig-7	fig-7	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	403	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	403	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	403	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	403	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	403	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	404	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	404	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	404	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	404	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	404	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	404	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	404	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	405	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	405	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	405	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	405	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	405	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	10	19/32	19/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	405	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-7	http://dx.doi.org/10.7717/peerj-cs.252/fig-7	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	405	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	405	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	405	15	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	405	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	405	17	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	405	18	they	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	405	19	compared	compare	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	405	20	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	405	21	common	common	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	405	22	classifiers	classifier	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	405	23	including	include	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	405	24	Naive	Naive	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	25	Bayesian	Bayesian	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	26	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	405	27	NB	NB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	28	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	405	29	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	405	30	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	31	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	405	32	biNB	biNB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	405	33	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	405	34	RNNs	rnn	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	405	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	406	1	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	406	2	2	2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	406	3	summarises	summarise	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	406	4	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	406	5	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	406	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	407	1	Movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	407	2	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	407	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	407	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	407	5	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	407	6	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	407	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	407	8	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	407	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	407	10	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	407	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	407	12	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	407	13	parameter	parameter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	407	14	tuning	tuning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	407	15	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	407	16	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	407	17	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	407	18	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	407	19	Fig	Fig	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	407	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	408	1	7B.	7b.	CD
work_fljh2g733fa2fnxmkvwa4p3kby	409	1	Similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	409	2	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	409	3	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	409	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	409	5	FDA+SDA	fda+sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	409	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	409	7	OBC	OBC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	409	8	perform	perform	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	409	9	better	well	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	409	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	409	11	most	most	RBS
work_fljh2g733fa2fnxmkvwa4p3kby	409	12	consistently	consistently	RB
work_fljh2g733fa2fnxmkvwa4p3kby	409	13	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	409	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	409	15	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	409	16	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	409	17	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	409	18	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	409	19	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	409	20	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	409	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	410	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	410	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	410	3	interesting	interesting	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	410	4	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	410	5	notice	notice	VB
work_fljh2g733fa2fnxmkvwa4p3kby	410	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	410	7	drop	drop	NN
work_fljh2g733fa2fnxmkvwa4p3kby	410	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	410	9	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	410	10	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	410	11	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	410	12	those	those	DT
work_fljh2g733fa2fnxmkvwa4p3kby	410	13	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	410	14	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	410	15	do	do	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	410	16	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	410	17	use	use	VB
work_fljh2g733fa2fnxmkvwa4p3kby	410	18	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	410	19	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	410	20	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	410	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	410	22	increased	increase	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	410	23	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	410	24	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	410	25	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	410	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	411	1	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	411	2	3	3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	411	3	compares	compare	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	411	4	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	411	5	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	411	6	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	411	7	those	those	DT
work_fljh2g733fa2fnxmkvwa4p3kby	411	8	reported	report	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	411	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	411	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	411	11	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	411	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	411	13	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	411	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	411	15	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	411	16	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	411	17	Vaithyanathan	Vaithyanathan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	411	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	411	19	2002	2002	CD
work_fljh2g733fa2fnxmkvwa4p3kby	411	20	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	411	21	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	411	22	OBC	OBC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	411	23	outperforming	outperform	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	411	24	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	411	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	411	26	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	411	27	approaches	approach	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	411	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	412	1	Movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	412	2	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	412	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	412	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	412	5	scale	scale	NN
work_fljh2g733fa2fnxmkvwa4p3kby	412	6	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	412	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	412	8	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	412	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	412	10	Rev2	Rev2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	412	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	412	12	FDA+SDA	fda+sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	412	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	412	14	OBC	OBC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	412	15	again	again	RB
work_fljh2g733fa2fnxmkvwa4p3kby	412	16	outperform	outperform	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	412	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	412	18	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	412	19	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	412	20	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	412	21	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	412	22	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	412	23	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	412	24	Fig	fig	NN
work_fljh2g733fa2fnxmkvwa4p3kby	412	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	413	1	7C	7C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	413	2	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	413	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	414	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	414	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	414	3	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	414	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	414	5	clear	clear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	414	6	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	414	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	414	8	increased	increase	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	414	9	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	414	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	414	11	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	414	12	negatively	negatively	RB
work_fljh2g733fa2fnxmkvwa4p3kby	414	13	affected	affect	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	414	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	414	15	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	414	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	414	17	SoftmaxSDA	softmaxsda	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	414	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	415	1	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	415	2	4	4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	415	3	shows	show	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	415	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	415	5	superiority	superiority	NN
work_fljh2g733fa2fnxmkvwa4p3kby	415	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	415	7	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	415	8	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	415	9	compared	compare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	415	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	415	11	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	415	12	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	415	13	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	415	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	415	15	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	415	16	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	415	17	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	415	18	surveyed	survey	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	415	19	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	415	20	detail	detail	NN
work_fljh2g733fa2fnxmkvwa4p3kby	415	21	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	415	22	Maas	Maas	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	415	23	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	415	24	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	415	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	416	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	416	2	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	416	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	416	4	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	416	5	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	416	6	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	416	7	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	416	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	416	9	2004	2004	CD
work_fljh2g733fa2fnxmkvwa4p3kby	416	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	416	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	417	1	Subjectivity	subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	417	2	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	417	3	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	417	4	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	417	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	417	6	Sub	Sub	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	417	7	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	417	8	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	417	9	previous	previous	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	417	10	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	417	11	focused	focus	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	417	12	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	417	13	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	417	14	vs.	vs.	IN
work_fljh2g733fa2fnxmkvwa4p3kby	417	15	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	417	16	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	417	17	discrimination	discrimination	NN
work_fljh2g733fa2fnxmkvwa4p3kby	417	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	418	1	On	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	418	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	418	3	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	418	4	hand	hand	NN
work_fljh2g733fa2fnxmkvwa4p3kby	418	5	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	418	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	418	7	Sub	Sub	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	418	8	focuses	focus	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	418	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	418	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	418	11	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	418	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	418	13	classifying	classify	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	418	14	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	418	15	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	418	16	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	418	17	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	418	18	their	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	418	19	subjectivity	subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	418	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	419	1	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	419	2	7D	7d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	419	3	shows	show	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	419	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	419	5	detailed	detailed	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	419	6	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	419	7	while	while	IN
work_fljh2g733fa2fnxmkvwa4p3kby	419	8	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	419	9	5	5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	419	10	shows	show	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	419	11	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	419	12	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	419	13	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	419	14	2	2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	419	15	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	419	16	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	419	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	420	1	Method	Method	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	420	2	Accuracy	Accuracy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	420	3	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	420	4	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	420	5	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	420	6	BagOfWords+SVM	BagOfWords+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	420	7	83.5	83.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	8	Bigram+SVM	bigram+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	420	9	89.4	89.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	10	Unigram+SVM	Unigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	420	11	87.5	87.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	12	LDA+SVM	lda+svm	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	13	88.6	88.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	14	Lexical+SVM	lexical+svm	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	15	85.4	85.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	16	Glove+LSTM	Glove+LSTM	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	420	17	92.3	92.3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	18	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	420	19	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	420	20	85.61	85.61	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	21	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	420	22	3	3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	420	23	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	420	24	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	420	25	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	420	26	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	420	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	421	1	Method	Method	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	2	Accuracy	Accuracy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	3	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	421	4	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	421	5	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	421	6	BagOfWords+SVM	BagOfWords+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	7	75.2	75.2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	421	8	Bigram+SVM	bigram+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	421	9	79.1	79.1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	421	10	Unigram+SVM	Unigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	11	82.7	82.7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	421	12	LDA+SVM	lda+svm	CD
work_fljh2g733fa2fnxmkvwa4p3kby	421	13	77.3	77.3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	421	14	Lexical+SVM	Lexical+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	15	72.9	72.9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	421	16	Glove+LSTM	Glove+LSTM	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	421	17	83.5	83.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	421	18	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	421	19	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	421	20	87.28	87.28	CD
work_fljh2g733fa2fnxmkvwa4p3kby	421	21	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	22	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	23	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	24	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	421	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	422	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	422	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	422	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	422	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	422	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	422	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	422	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	423	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	423	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	423	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	423	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	423	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	423	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	423	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	423	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	423	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	423	10	20/32	20/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	423	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	423	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	423	13	performs	perform	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	423	14	similarly	similarly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	423	15	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	423	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	423	17	best	good	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	423	18	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	423	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	423	20	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	423	21	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	423	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	423	23	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	423	24	pattern	pattern	NN
work_fljh2g733fa2fnxmkvwa4p3kby	423	25	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	423	26	accuracies	accuracy	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	423	27	repeated	repeat	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	423	28	even	even	RB
work_fljh2g733fa2fnxmkvwa4p3kby	423	29	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	423	30	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	423	31	change	change	NN
work_fljh2g733fa2fnxmkvwa4p3kby	423	32	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	423	33	task	task	NN
work_fljh2g733fa2fnxmkvwa4p3kby	423	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	424	1	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	2	SI650—Sentiment	SI650—Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	3	Classification	Classification	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	424	5	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	424	7	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	424	8	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	424	9	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	424	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	424	11	core	core	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	424	12	part	part	NN
work_fljh2g733fa2fnxmkvwa4p3kby	424	13	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	424	14	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	424	15	challenge	challenge	NN
work_fljh2g733fa2fnxmkvwa4p3kby	424	16	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	424	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	424	18	machine	machine	NN
work_fljh2g733fa2fnxmkvwa4p3kby	424	19	learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	424	20	competition	competition	NN
work_fljh2g733fa2fnxmkvwa4p3kby	424	21	website	website	NN
work_fljh2g733fa2fnxmkvwa4p3kby	424	22	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	424	23	Kaggle	Kaggle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	424	25	San	San	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	26	Francisco	Francisco	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	27	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	424	28	CA	CA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	29	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	424	30	USA	USA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	31	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	424	32	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	424	33	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	424	34	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	424	35	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	424	36	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	424	37	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	425	1	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	425	2	7E	7e	NN
work_fljh2g733fa2fnxmkvwa4p3kby	425	3	shows	show	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	425	4	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	425	5	as	as	RB
work_fljh2g733fa2fnxmkvwa4p3kby	425	6	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	425	7	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	425	8	96.4	96.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	425	9	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	425	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	425	11	SoftmaxSDA	softmaxsda	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	425	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	425	13	250	250	CD
work_fljh2g733fa2fnxmkvwa4p3kby	425	14	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	425	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	425	16	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	425	17	indicates	indicate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	425	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	425	19	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	425	20	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	425	21	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	425	22	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	425	23	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	425	24	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	425	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	426	1	OBC	OBC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	426	2	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	426	3	FDA+SDA	FDA+SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	426	4	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	426	5	show	show	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	426	6	above	above	IN
work_fljh2g733fa2fnxmkvwa4p3kby	426	7	85	85	CD
work_fljh2g733fa2fnxmkvwa4p3kby	426	8	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	426	9	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	426	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	426	11	comparable	comparable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	426	12	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	426	13	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	426	14	TM+CSVM	TM+CSVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	426	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	426	16	TM+LR	TM+LR	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	426	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	426	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	426	19	TM+CLR	tm+clr	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	426	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	427	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	427	2	compared	compare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	427	3	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	427	4	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	427	5	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	427	6	detailed	detail	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	427	7	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	427	8	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	427	9	6	6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	427	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	428	1	Multi	multi	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	428	2	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	428	3	domain	domain	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	428	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	428	5	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	428	6	Dang	Dang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	428	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	428	8	Zhang	Zhang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	428	9	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	428	10	Chen	Chen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	428	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	428	12	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	428	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	428	14	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	428	15	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	428	16	lexicon	lexicon	NN
work_fljh2g733fa2fnxmkvwa4p3kby	428	17	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	428	18	enhanced	enhanced	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	428	19	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	428	20	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	428	21	extract	extract	VB
work_fljh2g733fa2fnxmkvwa4p3kby	428	22	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	428	23	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	428	24	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	428	25	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	428	26	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	428	27	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	428	28	boost	boost	VB
work_fljh2g733fa2fnxmkvwa4p3kby	428	29	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	428	30	SVM	SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	428	31	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	428	32	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	428	33	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	428	34	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	428	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	429	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	429	2	cross	cross	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	429	3	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	429	4	domain	domain	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	429	5	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	429	6	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	429	7	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	429	8	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	429	9	study	study	VB
work_fljh2g733fa2fnxmkvwa4p3kby	429	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	429	11	generalisation	generalisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	429	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	429	13	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	429	14	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	429	15	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	429	16	domains	domain	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	429	17	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	429	18	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	429	19	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	429	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	429	21	Bollegala	Bollegala	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	429	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	429	23	Weir	Weir	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	429	24	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	429	25	Carroll	Carroll	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	429	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	429	27	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	429	28	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	429	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	430	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	430	2	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	430	3	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	430	4	reported	report	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	430	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	430	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	430	7	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	430	8	domain	domain	NN
work_fljh2g733fa2fnxmkvwa4p3kby	430	9	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	430	10	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	430	11	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	430	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	430	13	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	430	14	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	430	15	compared	compare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	430	16	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	430	17	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	430	18	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	430	19	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	430	20	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	430	21	7	7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	430	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	431	1	Finally	finally	RB
work_fljh2g733fa2fnxmkvwa4p3kby	431	2	Li	Li	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	431	3	et	et	FW
work_fljh2g733fa2fnxmkvwa4p3kby	431	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	431	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	432	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	432	2	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	432	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	432	4	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	432	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	432	6	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	432	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	432	8	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	432	9	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	432	10	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	432	11	look	look	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	432	12	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	432	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	432	14	personal	personal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	432	15	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	432	16	impersonal	impersonal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	432	17	views	view	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	432	18	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	432	19	help	help	VB
work_fljh2g733fa2fnxmkvwa4p3kby	432	20	better	well	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	432	21	separate	separate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	432	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	432	23	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	432	24	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	432	25	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	432	26	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	432	27	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	432	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	433	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	433	2	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	433	3	clearly	clearly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	433	4	demonstrates	demonstrate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	433	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	433	6	superiority	superiority	NN
work_fljh2g733fa2fnxmkvwa4p3kby	433	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	433	8	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	433	9	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	433	10	compared	compare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	433	11	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	433	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	433	13	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	433	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	433	15	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	433	16	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	433	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	433	18	sub	sub	NN
work_fljh2g733fa2fnxmkvwa4p3kby	433	19	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	433	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	434	1	Figures	figure	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	434	2	7F	7f	CD
work_fljh2g733fa2fnxmkvwa4p3kby	434	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	434	4	8A–8C	8a–8c	VB
work_fljh2g733fa2fnxmkvwa4p3kby	434	5	present	present	VB
work_fljh2g733fa2fnxmkvwa4p3kby	434	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	434	7	effect	effect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	434	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	434	9	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	434	10	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	434	11	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	434	12	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	434	13	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	434	14	4	4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	434	15	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	434	16	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	434	17	Rev2	Rev2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	434	18	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	434	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	435	1	Method	Method	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	435	2	Accuracy	Accuracy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	435	3	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	435	4	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	435	5	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	435	6	BagOfWords+SVM	BagOfWords+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	435	7	86.9	86.9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	435	8	Bigram+SVM	bigram+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	435	9	88.1	88.1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	435	10	Unigram+SVM	Unigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	435	11	87.5	87.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	435	12	LDA+SVM	lda+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	435	13	85.6	85.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	435	14	Lexical+SVM	Lexical+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	435	15	86.4	86.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	435	16	Glove+LSTM	Glove+LSTM	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	435	17	94.5	94.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	435	18	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	435	19	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	435	20	98.05	98.05	CD
work_fljh2g733fa2fnxmkvwa4p3kby	435	21	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	435	22	5	5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	435	23	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	435	24	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	435	25	Sub	Sub	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	435	26	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	435	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	436	1	Method	Method	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	436	2	Accuracy	Accuracy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	436	3	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	436	4	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	436	5	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	436	6	BagOfWords+SVM	BagOfWords+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	436	7	90.2	90.2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	436	8	Bigram+SVM	bigram+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	436	9	93.8	93.8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	436	10	Unigram+SVM	Unigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	436	11	92.5	92.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	436	12	LDA+SVM	lda+svm	CD
work_fljh2g733fa2fnxmkvwa4p3kby	436	13	67.6	67.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	436	14	Lexical+SVM	lexical+svm	NN
work_fljh2g733fa2fnxmkvwa4p3kby	436	15	88.6	88.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	436	16	Glove+LSTM	Glove+LSTM	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	436	17	92.5	92.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	436	18	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	436	19	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	436	20	90.72	90.72	CD
work_fljh2g733fa2fnxmkvwa4p3kby	436	21	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	436	22	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	436	23	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	436	24	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	436	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	437	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	437	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	437	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	437	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	437	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	437	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	437	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	438	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	438	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	438	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	438	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	438	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	438	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	438	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	438	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	438	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	438	10	21/32	21/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	438	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	438	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	438	13	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	438	14	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	438	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	438	16	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	438	17	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	438	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	438	19	4	4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	438	20	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	438	21	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	438	22	FDA+SDA	fda+sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	438	23	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	438	24	OBC	OBC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	438	25	achieving	achieve	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	438	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	438	27	best	good	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	438	28	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	438	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	439	1	SMS	SMS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	439	2	spam	spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	439	3	collection	collection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	439	4	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	439	5	set	set	NN
work_fljh2g733fa2fnxmkvwa4p3kby	439	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	439	7	SMS	SMS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	439	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	439	9	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	439	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	439	11	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	439	12	8	8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	439	13	compares	compare	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	439	14	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	439	15	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	439	16	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	439	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	439	18	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	439	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	439	20	SMS	SMS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	439	21	spam	spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	439	22	filtering	filter	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	439	23	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	439	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	439	25	state	state	NN
work_fljh2g733fa2fnxmkvwa4p3kby	439	26	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	439	27	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	439	28	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	439	29	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	439	30	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	439	31	art	art	NN
work_fljh2g733fa2fnxmkvwa4p3kby	439	32	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	439	33	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	439	34	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	439	35	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	439	36	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	440	1	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	440	2	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	440	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	440	4	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	440	5	par	par	NN
work_fljh2g733fa2fnxmkvwa4p3kby	440	6	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	440	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	440	8	highest	high	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	440	9	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	440	10	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	440	11	mentioned	mention	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	440	12	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	440	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	440	14	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	440	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	441	1	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	441	2	8D	8d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	441	3	shows	show	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	441	4	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	441	5	FDA+SDA	fda+sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	441	6	scores	score	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	441	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	441	8	highest	high	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	441	9	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	441	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	441	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	441	12	wide	wide	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	441	13	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	441	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	441	15	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	441	16	numbers	number	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	441	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	442	1	Given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	442	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	442	3	data	data	NN
work_fljh2g733fa2fnxmkvwa4p3kby	442	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	442	5	imbalanced	imbalanced	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	442	6	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	442	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	442	8	important	important	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	442	9	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	442	10	report	report	VB
work_fljh2g733fa2fnxmkvwa4p3kby	442	11	complementary	complementary	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	442	12	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	442	13	measures	measure	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	442	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	443	1	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	443	2	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	443	3	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	443	4	achieved	achieve	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	443	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	443	6	F	f	NN
work_fljh2g733fa2fnxmkvwa4p3kby	443	7	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	443	8	score	score	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	443	9	=	=	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	443	10	92.13	92.13	CD
work_fljh2g733fa2fnxmkvwa4p3kby	443	11	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	443	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	443	13	Precision	Precision	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	443	14	=	=	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	443	15	95.47	95.47	CD
work_fljh2g733fa2fnxmkvwa4p3kby	443	16	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	443	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	443	18	Recall	Recall	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	443	19	=	=	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	443	20	87.58	87.58	CD
work_fljh2g733fa2fnxmkvwa4p3kby	443	21	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	443	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	444	1	DISCUSSION	DISCUSSION	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	444	2	During	during	IN
work_fljh2g733fa2fnxmkvwa4p3kby	444	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	444	4	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	444	5	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	444	6	phase	phase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	444	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	444	8	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	444	9	groups	group	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	444	10	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	444	11	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	444	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	444	13	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	444	14	into	into	IN
work_fljh2g733fa2fnxmkvwa4p3kby	444	15	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	444	16	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	444	17	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	444	18	assigned	assign	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	444	19	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	444	20	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	444	21	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	444	22	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	444	23	belonging	belong	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	444	24	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	444	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	444	26	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	444	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	445	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	445	2	straight	straight	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	445	3	forward	forward	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	445	4	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	445	5	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	445	6	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	445	7	could	could	MD
work_fljh2g733fa2fnxmkvwa4p3kby	445	8	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	445	9	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	445	10	use	use	VB
work_fljh2g733fa2fnxmkvwa4p3kby	445	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	445	12	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	445	13	resource	resource	NN
work_fljh2g733fa2fnxmkvwa4p3kby	445	14	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	445	15	assign	assign	VB
work_fljh2g733fa2fnxmkvwa4p3kby	445	16	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	445	17	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	445	18	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	445	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	445	20	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	445	21	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	445	22	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	445	23	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	445	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	446	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	446	2	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	446	4	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	446	5	represented	represent	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	446	6	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	446	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	446	8	weighted	weighted	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	446	9	average	average	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	10	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	446	11	Tf	Tf	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	12	¼	¼	FW
work_fljh2g733fa2fnxmkvwa4p3kby	446	13	X	X	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	14	w	w	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	15	pw	pw	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	16	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	17	sw	sw	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	18	;	;	,
work_fljh2g733fa2fnxmkvwa4p3kby	446	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	446	20	8)	8)	CD
work_fljh2g733fa2fnxmkvwa4p3kby	446	21	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	446	22	pw	pw	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	23	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	446	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	446	25	probability	probability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	26	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	446	27	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	28	w	w	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	29	belonging	belong	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	446	30	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	446	31	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	32	T	T	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	33	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	446	34	P	P	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	35	w	w	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	36	pw	pw	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	37	¼	¼	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	38	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	446	39	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	446	40	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	446	41	sw	sw	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	446	42	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	446	43	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	446	44	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	45	assigned	assign	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	446	46	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	446	47	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	446	48	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	49	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	446	50	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	446	51	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	446	52	resource	resource	NN
work_fljh2g733fa2fnxmkvwa4p3kby	446	53	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	447	1	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	447	2	6	6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	447	3	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	447	4	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	447	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	448	1	Method	Method	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	448	2	Accuracy	Accuracy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	448	3	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	448	4	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	448	5	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	448	6	BagOfWords+SVM	BagOfWords+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	448	7	92.7	92.7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	8	Bigram+SVM	bigram+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	448	9	94.6	94.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	10	Unigram+SVM	Unigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	448	11	90.5	90.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	12	LDA+SVM	lda+svm	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	13	88.7	88.7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	14	Lexical+SVM	Lexical+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	448	15	91.3	91.3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	16	Glove+LSTM	Glove+LSTM	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	448	17	94.5	94.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	18	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	448	19	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	448	20	96.4	96.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	21	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	448	22	7	7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	448	23	Multi	multi	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	448	24	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	448	25	domain	domain	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	448	26	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	448	27	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	448	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	449	1	Method	Method	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	2	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	3	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	449	4	B	B	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	449	6	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	449	7	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	449	8	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	449	10	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	449	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	449	12	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	449	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	449	14	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	15	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	449	16	E	e	NN
work_fljh2g733fa2fnxmkvwa4p3kby	449	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	449	18	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	449	19	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	449	20	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	21	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	449	22	K	K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	23	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	449	24	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	449	25	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	449	26	BagOfWords+SVM	BagOfWords+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	27	77.8	77.8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	28	80.9	80.9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	29	84.1	84.1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	30	84.6	84.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	31	Bigram+SVM	bigram+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	449	32	78.5	78.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	33	81.2	81.2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	34	83.3	83.3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	35	84.8	84.8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	36	Unigram+SVM	Unigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	37	75.1	75.1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	38	80.4	80.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	39	83.4	83.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	40	83.9	83.9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	41	LDA+SVM	lda+svm	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	42	78.5	78.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	43	81.6	81.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	44	84.2	84.2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	45	84.5	84.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	46	Lexical+SVM	Lexical+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	47	78.8	78.8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	48	80.7	80.7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	49	83.7	83.7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	50	84.1	84.1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	51	Glove+LSTM	Glove+LSTM	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	449	52	90.8	90.8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	53	92.2	92.2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	54	94.5	94.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	55	93.2	93.2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	56	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	449	57	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	449	58	99.6	99.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	59	99.4	99.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	60	99.4	99.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	61	99.45	99.45	CD
work_fljh2g733fa2fnxmkvwa4p3kby	449	62	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	63	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	64	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	65	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	449	66	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	450	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	450	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	450	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	450	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	450	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	450	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	450	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	451	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	451	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	451	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	451	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	451	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	10	22/32	22/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	451	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	451	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	451	13	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	14	8	8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	451	15	Detailed	detailed	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	451	16	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	451	17	showing	show	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	451	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	451	19	change	change	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	20	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	451	21	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	22	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	451	23	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	24	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	451	25	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	451	26	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	451	27	different	different	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	451	28	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	29	schemes	scheme	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	451	30	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	451	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	451	32	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	451	33	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	451	34	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	451	35	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	451	36	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	451	37	MDSD	mdsd	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	38	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	451	39	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	40	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	451	41	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	451	42	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	43	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	451	44	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	45	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	451	46	E	e	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	47	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	451	48	C	c	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	49	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	451	50	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	51	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	451	52	K	K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	53	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	451	54	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	451	55	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	451	56	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	451	57	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	451	58	SMS-	SMS-	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	59	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	451	60	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	452	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	452	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	452	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	452	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	452	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	452	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	452	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	452	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	452	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	452	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	452	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	452	12	fig-8	fig-8	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	452	13	Table	table	NN
work_fljh2g733fa2fnxmkvwa4p3kby	452	14	8	8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	452	15	SMS	sms	NN
work_fljh2g733fa2fnxmkvwa4p3kby	452	16	spam	spam	NN
work_fljh2g733fa2fnxmkvwa4p3kby	452	17	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	452	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	453	1	Method	Method	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	453	2	AUROC	AUROC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	453	3	BagOfWords+SVM	bagofwords+svm	NN
work_fljh2g733fa2fnxmkvwa4p3kby	453	4	85.4	85.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	453	5	Bigram+SVM	bigram+svm	IN
work_fljh2g733fa2fnxmkvwa4p3kby	453	6	86.3	86.3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	453	7	Unigram+SVM	Unigram+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	453	8	84.7	84.7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	453	9	LDA+SVM	lda+svm	CD
work_fljh2g733fa2fnxmkvwa4p3kby	453	10	82.4	82.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	453	11	Lexical+SVM	Lexical+SVM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	453	12	84.6	84.6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	453	13	Glove+LSTM	Glove+LSTM	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	453	14	79.8	79.8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	453	15	Our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	453	16	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	453	17	89.9	89.9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	453	18	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	453	19	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	453	20	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	453	21	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	453	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	454	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	454	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	454	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	454	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	454	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	454	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	454	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	455	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	455	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	455	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	455	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	455	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	455	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	455	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	455	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	455	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	455	10	23/32	23/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	455	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-8	http://dx.doi.org/10.7717/peerj-cs.252/fig-8	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	455	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	455	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	:
work_fljh2g733fa2fnxmkvwa4p3kby	455	14	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	455	15	9A	9a	NN
work_fljh2g733fa2fnxmkvwa4p3kby	455	16	shows	show	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	455	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	455	18	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	455	19	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	455	20	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	455	21	polarities	polarity	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	455	22	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	455	23	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	455	24	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	455	25	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	455	26	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	455	27	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	455	28	when	when	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	455	29	building	build	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	455	30	LDAs	lda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	455	31	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	455	32	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	455	33	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	455	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	456	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	456	2	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	456	3	clearly	clearly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	456	4	show	show	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	456	5	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	456	6	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	456	7	well	well	RB
work_fljh2g733fa2fnxmkvwa4p3kby	456	8	separated	separate	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	456	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	456	10	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	456	11	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	456	12	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	456	13	would	would	MD
work_fljh2g733fa2fnxmkvwa4p3kby	456	14	make	make	VB
work_fljh2g733fa2fnxmkvwa4p3kby	456	15	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	456	16	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	456	17	easy	easy	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	456	18	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	456	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	456	20	linear	linear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	456	21	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	456	22	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	456	23	perform	perform	VB
work_fljh2g733fa2fnxmkvwa4p3kby	456	24	well	well	RB
work_fljh2g733fa2fnxmkvwa4p3kby	456	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	457	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	457	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	457	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	457	4	Fig	Fig	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	457	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	458	1	9B	9b	RB
work_fljh2g733fa2fnxmkvwa4p3kby	458	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	458	3	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	458	4	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	458	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	458	6	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	458	7	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	458	8	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	458	9	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	458	10	show	show	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	458	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	458	12	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	458	13	degree	degree	NN
work_fljh2g733fa2fnxmkvwa4p3kby	458	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	458	15	overlap	overlap	NN
work_fljh2g733fa2fnxmkvwa4p3kby	458	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	459	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	459	2	exemplifies	exemplify	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	459	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	459	4	importance	importance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	459	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	459	6	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	459	7	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	459	8	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	459	9	top	top	NN
work_fljh2g733fa2fnxmkvwa4p3kby	459	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	459	11	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	459	12	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	459	13	extract	extract	VB
work_fljh2g733fa2fnxmkvwa4p3kby	459	14	hidden	hide	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	459	15	complex	complex	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	459	16	relationships	relationship	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	459	17	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	459	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	459	19	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	459	20	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	459	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	459	22	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	459	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	459	24	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	459	25	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	459	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	460	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	460	2	fact	fact	NN
work_fljh2g733fa2fnxmkvwa4p3kby	460	3	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	460	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	460	5	some	some	DT
work_fljh2g733fa2fnxmkvwa4p3kby	460	6	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	460	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	460	8	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	460	9	assigned	assign	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	460	10	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	460	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	460	12	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	460	13	resource	resource	NN
work_fljh2g733fa2fnxmkvwa4p3kby	460	14	generates	generate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	460	15	highly	highly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	460	16	separable	separable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	460	17	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	460	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	460	19	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	460	20	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	460	21	Fig	Fig	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	460	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	461	1	9	9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	461	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	461	3	could	could	MD
work_fljh2g733fa2fnxmkvwa4p3kby	461	4	explain	explain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	461	5	why	why	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	461	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	461	7	some	some	DT
work_fljh2g733fa2fnxmkvwa4p3kby	461	8	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	461	9	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	461	10	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	461	11	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	461	12	outperformed	outperform	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	461	13	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	461	14	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	461	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	462	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	462	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	462	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	462	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	462	5	general	general	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	462	6	case	case	NN
work_fljh2g733fa2fnxmkvwa4p3kby	462	7	where	where	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	462	8	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	462	9	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	462	10	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	462	11	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	462	12	separable	separable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	462	13	enough	enough	RB
work_fljh2g733fa2fnxmkvwa4p3kby	462	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	462	15	introduction	introduction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	462	16	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	462	17	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	462	18	seems	seem	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	462	19	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	462	20	contribute	contribute	VB
work_fljh2g733fa2fnxmkvwa4p3kby	462	21	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	462	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	462	23	enhanced	enhanced	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	462	24	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	462	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	463	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	463	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	463	3	case	case	NN
work_fljh2g733fa2fnxmkvwa4p3kby	463	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	463	5	auto	auto	NN
work_fljh2g733fa2fnxmkvwa4p3kby	463	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	463	7	encoders	encoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	463	8	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	463	9	squared	square	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	463	10	RE	RE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	463	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	463	12	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	463	13	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	463	14	equivalent	equivalent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	463	15	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	463	16	PCA	PCA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	463	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	463	18	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	463	19	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	463	20	Courville	Courville	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	463	21	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	463	22	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	463	23	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	463	24	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	463	25	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	463	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	464	1	However	however	RB
work_fljh2g733fa2fnxmkvwa4p3kby	464	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	464	3	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	464	4	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	464	5	have	have	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	464	6	shown	show	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	464	7	above	above	IN
work_fljh2g733fa2fnxmkvwa4p3kby	464	8	PCA	PCA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	464	9	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	464	10	unable	unable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	464	11	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	464	12	clearly	clearly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	464	13	separate	separate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	464	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	464	15	sentiments	sentiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	464	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	465	1	Here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	465	2	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	465	3	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	465	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	465	5	tied	tie	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	465	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	465	7	weight	weight	NN
work_fljh2g733fa2fnxmkvwa4p3kby	465	8	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	465	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	465	10	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	465	11	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	465	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	465	13	decoding	decoding	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	465	14	weight	weight	NN
work_fljh2g733fa2fnxmkvwa4p3kby	465	15	matrix	matrix	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	465	16	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	465	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	465	18	inverse	inverse	NN
work_fljh2g733fa2fnxmkvwa4p3kby	465	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	465	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	465	21	encode	encode	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	465	22	matrix	matrix	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	465	23	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	465	24	W′	w′	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	465	25	=	=	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	465	26	WT	WT	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	465	27	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	465	28	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	465	29	enforces	enforce	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	465	30	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	465	31	non	non	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	465	32	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	465	33	linear	linear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	465	34	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	465	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	466	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	466	2	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	466	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	466	4	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	466	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	466	6	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	466	7	plays	play	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	466	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	466	9	role	role	NN
work_fljh2g733fa2fnxmkvwa4p3kby	466	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	466	11	regularisation	regularisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	466	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	466	13	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	466	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	466	15	Courville	Courville	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	466	16	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	466	17	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	466	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	466	19	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	466	20	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	466	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	467	1	Regularisation	regularisation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	467	2	constraints	constraint	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	467	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	467	4	representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	467	5	even	even	RB
work_fljh2g733fa2fnxmkvwa4p3kby	467	6	when	when	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	467	7	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	467	8	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	467	9	overcomplete	overcomplete	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	467	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	467	11	makes	make	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	467	12	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	467	13	immune	immune	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	467	14	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	467	15	insensitivity	insensitivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	467	16	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	467	17	small	small	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	467	18	random	random	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	467	19	perturbations	perturbation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	467	20	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	467	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	467	22	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	467	23	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	467	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	468	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	468	2	motivated	motivate	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	468	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	468	4	increased	increase	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	468	5	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	468	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	468	7	layers	layer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	468	8	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	468	9	depth	depth	NN
work_fljh2g733fa2fnxmkvwa4p3kby	468	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	468	11	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	468	12	order	order	NN
work_fljh2g733fa2fnxmkvwa4p3kby	468	13	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	468	14	guarantee	guarantee	VB
work_fljh2g733fa2fnxmkvwa4p3kby	468	15	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	468	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	468	17	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	468	18	rather	rather	RB
work_fljh2g733fa2fnxmkvwa4p3kby	468	19	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	468	20	compressing	compress	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	468	21	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	468	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	469	1	Discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	2	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	469	4	simulations	simulation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	469	5	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	469	6	order	order	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	469	8	understand	understand	VB
work_fljh2g733fa2fnxmkvwa4p3kby	469	9	why	why	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	469	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	469	11	combined	combine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	469	12	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	13	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	469	14	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	15	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	16	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	469	17	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	469	18	works	work	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	469	19	well	well	RB
work_fljh2g733fa2fnxmkvwa4p3kby	469	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	469	21	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	469	22	borrow	borrow	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	469	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	469	24	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	25	index	index	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	26	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	469	27	d′	d′	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	28	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	469	29	concept	concept	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	30	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	469	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	469	32	signal	signal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	469	33	detection	detection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	34	theory	theory	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	35	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	36	9	9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	469	37	Positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	469	38	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	469	39	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	469	40	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	41	assigned	assign	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	469	42	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	469	43	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	469	44	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	469	45	resource	resource	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	46	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	469	47	SentiWordNet	sentiwordnet	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	469	48	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	469	49	Baccianella	Baccianella	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	469	50	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	469	51	Esuli	Esuli	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	469	52	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	469	53	Sebastiani	Sebastiani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	469	54	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	469	55	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	469	56	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	469	57	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	469	58	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	469	59	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	469	60	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	469	61	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	469	62	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	469	63	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	469	64	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	469	65	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	469	66	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	469	67	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	470	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	470	2	x	x	NN
work_fljh2g733fa2fnxmkvwa4p3kby	470	3	-	-	:
work_fljh2g733fa2fnxmkvwa4p3kby	470	4	axis	axis	RB
work_fljh2g733fa2fnxmkvwa4p3kby	470	5	repre-	repre-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	470	6	sents	sent	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	470	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	470	8	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	470	9	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	470	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	470	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	470	12	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	470	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	470	14	while	while	IN
work_fljh2g733fa2fnxmkvwa4p3kby	470	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	470	16	y	y	NN
work_fljh2g733fa2fnxmkvwa4p3kby	470	17	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	470	18	axis	axis	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	470	19	represents	represent	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	470	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	470	21	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	470	22	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	470	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	471	1	Points	point	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	471	2	over	over	IN
work_fljh2g733fa2fnxmkvwa4p3kby	471	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	471	4	line	line	NN
work_fljh2g733fa2fnxmkvwa4p3kby	471	5	means	mean	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	471	6	those	those	DT
work_fljh2g733fa2fnxmkvwa4p3kby	471	7	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	471	8	have	have	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	471	9	higher	high	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	471	10	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	471	11	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	471	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	471	13	while	while	IN
work_fljh2g733fa2fnxmkvwa4p3kby	471	14	points	point	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	471	15	under	under	IN
work_fljh2g733fa2fnxmkvwa4p3kby	471	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	471	17	line	line	NN
work_fljh2g733fa2fnxmkvwa4p3kby	471	18	carry	carry	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	471	19	more	more	RBR
work_fljh2g733fa2fnxmkvwa4p3kby	471	20	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	471	21	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	471	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	472	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	472	2	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	472	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	472	4	Word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	472	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	472	6	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	472	7	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	472	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	472	9	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	472	10	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	472	11	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	472	12	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	472	13	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	472	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	473	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	473	2	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	473	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	473	4	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	473	5	same	same	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	473	6	plot	plot	NN
work_fljh2g733fa2fnxmkvwa4p3kby	473	7	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	473	8	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	473	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	473	10	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	473	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	474	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	474	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	474	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	474	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	474	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	474	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	474	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	474	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	474	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	474	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	474	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	474	12	fig-9	fig-9	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	474	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	474	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	474	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	474	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	474	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	475	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	475	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	475	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	475	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	475	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	475	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	475	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	476	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	476	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	476	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	476	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	476	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	476	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	476	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	476	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	476	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	476	10	24/32	24/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	476	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-9	http://dx.doi.org/10.7717/peerj-cs.252/fig-9	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	476	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	476	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	476	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	476	15	Green	Green	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	476	16	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	476	17	Swets	Swets	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	476	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	476	19	1966	1966	CD
work_fljh2g733fa2fnxmkvwa4p3kby	476	20	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	476	21	Neri	Neri	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	476	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	476	23	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	476	24	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	476	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	477	1	Assume	assume	NN
work_fljh2g733fa2fnxmkvwa4p3kby	477	2	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	477	3	have	have	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	477	4	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	477	5	overlapping	overlap	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	477	6	distributions	distribution	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	477	7	representing	represent	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	477	8	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	477	9	classes	class	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	477	10	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	477	11	Fig	fig	NN
work_fljh2g733fa2fnxmkvwa4p3kby	477	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	478	1	10A	10A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	478	2	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	478	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	479	1	Each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	479	2	distribution	distribution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	479	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	479	4	Gaussian	Gaussian	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	479	5	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	479	6	mean	mean	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	479	7	μi	μi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	479	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	479	9	variance	variance	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	479	10	σi	σi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	479	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	480	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	480	2	goal	goal	NN
work_fljh2g733fa2fnxmkvwa4p3kby	480	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	480	4	any	any	DT
work_fljh2g733fa2fnxmkvwa4p3kby	480	5	learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	480	6	algorithm	algorithm	NN
work_fljh2g733fa2fnxmkvwa4p3kby	480	7	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	480	8	basically	basically	RB
work_fljh2g733fa2fnxmkvwa4p3kby	480	9	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	480	10	set	set	VB
work_fljh2g733fa2fnxmkvwa4p3kby	480	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	480	12	decision	decision	NN
work_fljh2g733fa2fnxmkvwa4p3kby	480	13	boundary	boundary	IN
work_fljh2g733fa2fnxmkvwa4p3kby	480	14	separating	separate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	480	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	480	16	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	480	17	distributions	distribution	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	480	18	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	480	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	480	20	way	way	NN
work_fljh2g733fa2fnxmkvwa4p3kby	480	21	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	480	22	maximises	maximise	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	480	23	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	480	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	481	1	Discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	481	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	481	3	made	make	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	481	4	easier	easy	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	481	5	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	481	6	either	either	CC
work_fljh2g733fa2fnxmkvwa4p3kby	481	7	increasing	increase	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	481	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	481	9	separation	separation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	481	10	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	481	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	481	12	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	481	13	means	mean	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	481	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	481	15	μ1	μ1	NN
work_fljh2g733fa2fnxmkvwa4p3kby	481	16	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	481	17	μ2	μ2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	481	18	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	481	19	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	481	20	minimising	minimise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	481	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	481	22	spread	spread	NN
work_fljh2g733fa2fnxmkvwa4p3kby	481	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	481	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	481	25	distribution	distribution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	481	26	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	481	27	measured	measure	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	481	28	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	481	29	σ1	σ1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	481	30	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	481	31	σ2	σ2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	481	32	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	481	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	482	1	d′	d′	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	482	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	482	3	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	482	4	defined	define	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	482	5	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	482	6	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	482	7	ratio	ratio	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	8	between	between	IN
work_fljh2g733fa2fnxmkvwa4p3kby	482	9	separation	separation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	482	11	spread	spread	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	482	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	482	13	Macmillan	Macmillan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	482	14	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	482	15	Creelman	Creelman	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	482	16	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	482	17	2004	2004	CD
work_fljh2g733fa2fnxmkvwa4p3kby	482	18	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	482	19	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	482	20	d0	d0	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	482	21	¼	¼	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	482	22	m1	m1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	482	23	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	482	24	m2ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi	m2ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	482	25	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	482	26	2	2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	482	27	ðs21	ðs21	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	28	þ	þ	DT
work_fljh2g733fa2fnxmkvwa4p3kby	482	29	s22Þ	s22þ	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	30	r	r	XX
work_fljh2g733fa2fnxmkvwa4p3kby	482	31	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	482	32	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	482	33	9	9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	482	34	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	482	35	d′	d′	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	482	36	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	482	37	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	482	38	dimensionless	dimensionless	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	482	39	statistic	statistic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	40	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	482	41	higher	high	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	482	42	values	value	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	482	43	indicating	indicate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	482	44	better	well	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	482	45	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	46	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	482	47	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	482	48	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	482	49	higher	high	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	482	50	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	51	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	52	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	482	53	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	482	54	result	result	NN
work_fljh2g733fa2fnxmkvwa4p3kby	482	55	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	483	1	We	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	483	2	hypothesise	hypothesise	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	483	3	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	483	4	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	483	5	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	483	6	outperforms	outperform	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	483	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	483	8	state	state	NN
work_fljh2g733fa2fnxmkvwa4p3kby	483	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	483	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	483	11	art	art	NN
work_fljh2g733fa2fnxmkvwa4p3kby	483	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	483	13	due	due	IN
work_fljh2g733fa2fnxmkvwa4p3kby	483	14	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	483	15	its	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	483	16	ability	ability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	483	17	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	483	18	increase	increase	VB
work_fljh2g733fa2fnxmkvwa4p3kby	483	19	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	483	20	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	483	21	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	483	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	483	23	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	483	24	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	483	25	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	483	26	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	483	27	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	483	28	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	484	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	484	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	484	3	amplified	amplify	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	484	4	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	484	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	484	6	use	use	NN
work_fljh2g733fa2fnxmkvwa4p3kby	484	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	484	8	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	484	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	484	10	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	484	11	topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	484	12	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	484	13	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	484	14	generate	generate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	484	15	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	484	16	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	484	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	484	18	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	484	19	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	484	20	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	484	21	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	484	22	turn	turn	NN
work_fljh2g733fa2fnxmkvwa4p3kby	484	23	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	484	24	able	able	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	484	25	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	484	26	accurately	accurately	RB
work_fljh2g733fa2fnxmkvwa4p3kby	484	27	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	484	28	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	484	29	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	484	30	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	484	31	their	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	484	32	input	input	NN
work_fljh2g733fa2fnxmkvwa4p3kby	484	33	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	484	34	generate	generate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	484	35	highly	highly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	484	36	discriminable	discriminable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	484	37	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	484	38	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	484	39	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	484	40	classified	classify	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	484	41	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	484	42	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	484	43	simple	simple	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	484	44	linear	linear	NN
work_fljh2g733fa2fnxmkvwa4p3kby	484	45	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	484	46	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	484	47	explained	explain	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	484	48	above	above	RB
work_fljh2g733fa2fnxmkvwa4p3kby	484	49	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	485	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	485	2	test	test	VB
work_fljh2g733fa2fnxmkvwa4p3kby	485	3	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	485	4	hypothesis	hypothesis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	485	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	485	6	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	485	7	simulate	simulate	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	485	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	485	9	effect	effect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	485	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	485	11	changing	change	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	485	12	d′	d′	NN
work_fljh2g733fa2fnxmkvwa4p3kby	485	13	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	485	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	485	15	expected	expect	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	485	16	performance	performance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	485	17	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	485	18	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	485	19	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	485	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	486	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	486	2	d′i	d′i	NN
work_fljh2g733fa2fnxmkvwa4p3kby	486	3	associated	associate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	486	4	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	486	5	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	486	6	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	486	7	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	486	8	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	486	9	simulated	simulate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	486	10	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	486	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	486	12	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	486	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	486	14	0–2	0–2	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	486	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	486	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	487	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	487	2	challenge	challenge	NN
work_fljh2g733fa2fnxmkvwa4p3kby	487	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	487	4	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	487	5	map	map	VB
work_fljh2g733fa2fnxmkvwa4p3kby	487	6	back	back	RB
work_fljh2g733fa2fnxmkvwa4p3kby	487	7	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	487	8	d′i	d′i	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	487	9	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	487	10	μi	μi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	487	11	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	487	12	σi	σi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	487	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	488	1	Each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	488	2	value	value	NN
work_fljh2g733fa2fnxmkvwa4p3kby	488	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	488	4	d′i	d′i	NN
work_fljh2g733fa2fnxmkvwa4p3kby	488	5	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	488	6	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	488	7	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	488	8	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	488	9	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	488	10	infinite	infinite	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	488	11	combinations	combination	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	488	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	488	13	μi	μi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	488	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	488	15	σi	σi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	488	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	489	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	489	2	overcome	overcome	VB
work_fljh2g733fa2fnxmkvwa4p3kby	489	3	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	489	4	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	489	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	489	6	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	489	7	use	use	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	489	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	489	9	Monte	Monte	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	489	10	Carlo	Carlo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	489	11	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	489	12	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	489	13	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	489	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	489	15	joint	joint	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	489	16	distribution	distribution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	489	17	p(d′	p(d′	NN
work_fljh2g733fa2fnxmkvwa4p3kby	489	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	489	19	μ	μ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	489	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	489	21	σ	σ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	489	22	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	489	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	490	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	490	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	490	3	now	now	RB
work_fljh2g733fa2fnxmkvwa4p3kby	490	4	possible	possible	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	490	5	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	490	6	obtain	obtain	VB
work_fljh2g733fa2fnxmkvwa4p3kby	490	7	acceptable	acceptable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	490	8	values	value	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	490	9	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	490	10	μi	μi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	490	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	490	12	σi	σi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	490	13	given	give	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	490	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	490	15	simulated	simulated	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	490	16	d′i	d′i	NN
work_fljh2g733fa2fnxmkvwa4p3kby	490	17	value	value	NN
work_fljh2g733fa2fnxmkvwa4p3kby	490	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	491	1	Details	detail	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	491	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	491	3	similar	similar	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	491	4	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	491	5	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	491	6	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	491	7	found	find	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	491	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	491	9	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	491	10	Neri	Neri	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	491	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	491	12	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	491	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	491	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	492	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	492	2	calculate	calculate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	492	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	492	4	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	5	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	492	7	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	8	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	492	9	simulated	simulate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	492	10	point	point	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	492	12	d′1	d′1	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	492	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	492	14	d′2	d′2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	492	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	492	16	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	492	17	synthetic	synthetic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	492	18	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	492	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	20	1,000	1,000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	492	21	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	492	22	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	492	23	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	492	24	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	25	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	492	26	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	492	27	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	492	28	component	component	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	29	two	two	CD
work_fljh2g733fa2fnxmkvwa4p3kby	492	30	dimensional	dimensional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	492	31	Gaussian	gaussian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	492	32	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	33	Figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	34	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	492	35	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	492	36	A	a	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	37	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	492	38	Schematic	schematic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	492	39	description	description	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	40	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	41	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	492	42	concept	concept	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	43	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	44	d′	d′	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	45	;	;	:
work_fljh2g733fa2fnxmkvwa4p3kby	492	46	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	492	47	B	b	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	48	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	492	49	simulations	simulation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	492	50	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	51	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	492	52	effect	effect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	53	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	54	changing	change	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	492	55	d′	d′	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	56	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	57	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	492	58	I	I	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	492	59	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	492	60	d′	d′	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	61	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	62	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	492	63	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	492	64	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	492	65	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	492	66	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	67	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	492	68	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	493	1	Full	full	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	493	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	493	3	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	493	4	DOI	doi	NN
work_fljh2g733fa2fnxmkvwa4p3kby	493	5	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	493	6	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	493	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	493	8	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	493	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	493	10	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	493	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	493	12	fig-10	fig-10	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	493	13	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	493	14	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	493	15	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	493	16	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	493	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	494	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	494	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	494	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	494	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	494	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	494	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	494	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	495	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	495	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	495	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	495	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	495	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	10	25/32	25/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	495	11	http://dx.doi.org/10.7717/peerj-cs.252/fig-10	http://dx.doi.org/10.7717/peerj-cs.252/fig-10	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	12	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	495	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	495	14	distribution	distribution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	495	15	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	495	16	GMM	GMM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	17	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	495	18	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	495	19	mean	mean	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	20	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	495	21	μ1	μ1	NN
work_fljh2g733fa2fnxmkvwa4p3kby	495	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	495	23	μ2	μ2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	24	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	495	25	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	495	26	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	495	27	diagonal	diagonal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	495	28	covariance	covariance	NN
work_fljh2g733fa2fnxmkvwa4p3kby	495	29	matrix	matrix	NN
work_fljh2g733fa2fnxmkvwa4p3kby	495	30	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	495	31	σ1	σ1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	32	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	495	33	σ2	σ2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	495	34	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	495	35	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	495	36	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	495	37	equal	equal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	495	38	mixing	mix	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	495	39	coefficients	coefficient	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	495	40	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	495	41	0.5	0.5	CD
work_fljh2g733fa2fnxmkvwa4p3kby	495	42	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	496	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	496	2	generated	generate	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	496	3	samples	sample	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	496	4	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	496	5	classified	classify	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	496	6	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	496	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	496	8	FDA	FDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	496	9	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	496	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	497	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	497	2	process	process	NN
work_fljh2g733fa2fnxmkvwa4p3kby	497	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	497	4	repeated	repeat	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	497	5	100	100	CD
work_fljh2g733fa2fnxmkvwa4p3kby	497	6	times	time	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	497	7	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	497	8	each	each	DT
work_fljh2g733fa2fnxmkvwa4p3kby	497	9	point	point	NN
work_fljh2g733fa2fnxmkvwa4p3kby	497	10	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	497	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	497	12	simulation	simulation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	497	13	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	497	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	497	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	497	16	average	average	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	497	17	values	value	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	497	18	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	497	19	reported	report	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	497	20	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	497	21	Fig	Fig	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	497	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	498	1	10B.	10b.	LS
work_fljh2g733fa2fnxmkvwa4p3kby	499	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	499	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	499	3	figure	figure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	499	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	499	5	brighter	bright	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	499	6	colour	colour	NN
work_fljh2g733fa2fnxmkvwa4p3kby	499	7	indicate	indicate	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	499	8	higher	high	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	499	9	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	499	10	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	499	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	500	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	500	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	500	3	clear	clear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	500	4	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	500	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	500	6	increase	increase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	500	7	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	500	8	d′	d′	NN
work_fljh2g733fa2fnxmkvwa4p3kby	500	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	500	10	either	either	DT
work_fljh2g733fa2fnxmkvwa4p3kby	500	11	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	500	12	both	both	DT
work_fljh2g733fa2fnxmkvwa4p3kby	500	13	axes	axis	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	500	14	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	500	15	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	500	16	higher	high	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	500	17	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	500	18	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	500	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	501	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	501	2	black	black	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	501	3	dots	dot	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	501	4	show	show	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	501	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	501	6	d′1	d′1	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	501	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	501	8	d′2	d′2	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	501	9	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	501	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	501	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	501	12	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	501	13	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	501	14	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	501	15	I	I	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	501	16	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	501	17	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	501	18	II	II	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	501	19	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	501	20	all	all	PDT
work_fljh2g733fa2fnxmkvwa4p3kby	501	21	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	501	22	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	501	23	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	501	24	above	above	RB
work_fljh2g733fa2fnxmkvwa4p3kby	501	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	502	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	502	2	white	white	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	502	3	dots	dot	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	502	4	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	502	5	those	those	DT
work_fljh2g733fa2fnxmkvwa4p3kby	502	6	produced	produce	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	502	7	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	502	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	502	9	output	output	NN
work_fljh2g733fa2fnxmkvwa4p3kby	502	10	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	502	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	502	12	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	502	13	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	502	14	without	without	IN
work_fljh2g733fa2fnxmkvwa4p3kby	502	15	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	502	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	503	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	503	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	503	3	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	503	4	clear	clear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	503	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	503	6	effect	effect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	503	7	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	503	8	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	503	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	503	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	503	11	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	503	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	503	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	503	14	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	503	15	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	503	16	hence	hence	RB
work_fljh2g733fa2fnxmkvwa4p3kby	503	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	503	18	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	503	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	503	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	503	21	overall	overall	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	503	22	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	503	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	504	1	These	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	504	2	finding	finding	NN
work_fljh2g733fa2fnxmkvwa4p3kby	504	3	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	504	4	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	504	5	important	important	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	504	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	504	7	demonstrating	demonstrate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	504	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	504	9	effect	effect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	504	10	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	504	11	has	have	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	504	12	when	when	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	504	13	combined	combine	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	504	14	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	504	15	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	504	16	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	504	17	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	504	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	504	19	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	504	20	described	describe	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	504	21	above	above	RB
work_fljh2g733fa2fnxmkvwa4p3kby	504	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	505	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	505	2	suggests	suggest	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	505	3	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	505	4	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	505	5	trained	train	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	505	6	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	505	7	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	505	8	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	505	9	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	505	10	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	505	11	helps	help	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	505	12	suppressing	suppress	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	505	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	505	14	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	505	15	class(s	class(s	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	505	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	505	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	505	18	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	505	19	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	505	20	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	505	21	able	able	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	505	22	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	505	23	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	505	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	505	25	inter	inter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	505	26	-	-	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	505	27	dependencies	dependency	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	505	28	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	505	29	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	505	30	way	way	NN
work_fljh2g733fa2fnxmkvwa4p3kby	505	31	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	505	32	increases	increase	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	505	33	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	505	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	506	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	506	2	suggest	suggest	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	506	3	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	506	4	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	506	5	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	506	6	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	506	7	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	506	8	used	use	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	506	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	506	10	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	506	11	areas	area	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	506	12	beyond	beyond	IN
work_fljh2g733fa2fnxmkvwa4p3kby	506	13	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	506	14	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	506	15	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	506	16	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	506	17	larger	large	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	506	18	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	506	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	506	20	classes	class	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	506	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	507	1	CONCLUSION	CONCLUSION	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	507	2	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	507	3	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	507	4	presented	present	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	507	5	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	507	6	novel	novel	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	507	7	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	507	8	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	507	9	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	507	10	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	507	11	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	507	12	combines	combine	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	507	13	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	507	14	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	507	15	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	507	16	deep	deep	RB
work_fljh2g733fa2fnxmkvwa4p3kby	507	17	stacked	stack	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	507	18	AE	AE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	507	19	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	507	20	generate	generate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	507	21	highly	highly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	507	22	separable	separable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	507	23	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	507	24	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	507	25	are	be	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	507	26	then	then	RB
work_fljh2g733fa2fnxmkvwa4p3kby	507	27	easily	easily	RB
work_fljh2g733fa2fnxmkvwa4p3kby	507	28	classified	classify	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	507	29	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	507	30	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	507	31	simple	simple	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	507	32	linear	linear	NN
work_fljh2g733fa2fnxmkvwa4p3kby	507	33	classifier	classifier	NN
work_fljh2g733fa2fnxmkvwa4p3kby	507	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	508	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	508	2	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	3	transforms	transform	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	508	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	508	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	6	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	7	problem	problem	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	8	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	508	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	508	10	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	508	12	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	508	13	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	508	14	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	508	15	approaches	approach	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	508	16	such	such	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	508	17	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	508	18	bag	bag	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	19	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	508	20	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	508	21	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	508	22	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	508	23	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	508	24	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	25	corpora	corpora	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	26	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	508	27	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	508	28	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	508	29	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	508	30	space	space	NN
work_fljh2g733fa2fnxmkvwa4p3kby	508	31	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	509	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	509	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	509	3	especially	especially	RB
work_fljh2g733fa2fnxmkvwa4p3kby	509	4	useful	useful	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	509	5	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	509	6	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	509	7	incorporates	incorporate	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	509	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	509	9	context	context	NN
work_fljh2g733fa2fnxmkvwa4p3kby	509	10	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	509	11	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	509	12	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	509	13	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	509	14	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	509	15	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	509	16	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	509	17	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	509	18	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	509	19	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	509	20	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	509	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	510	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	510	2	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	510	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	510	4	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	510	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	510	6	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	510	7	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	510	8	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	510	9	plays	play	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	510	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	510	11	role	role	NN
work_fljh2g733fa2fnxmkvwa4p3kby	510	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	510	13	finding	find	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	510	14	structural	structural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	510	15	correlations	correlation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	510	16	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	510	17	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	510	18	without	without	IN
work_fljh2g733fa2fnxmkvwa4p3kby	510	19	any	any	DT
work_fljh2g733fa2fnxmkvwa4p3kby	510	20	strong	strong	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	510	21	assumption	assumption	NN
work_fljh2g733fa2fnxmkvwa4p3kby	510	22	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	510	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	510	24	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	510	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	511	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	511	2	combination	combination	NN
work_fljh2g733fa2fnxmkvwa4p3kby	511	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	511	4	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	511	5	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	511	6	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	511	7	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	511	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	511	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	511	10	semi	semi	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	511	11	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	511	12	automatic	automatic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	511	13	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	511	14	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	511	15	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	511	16	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	511	17	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	511	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	511	19	number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	511	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	511	21	parameters	parameter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	511	22	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	511	23	tune	tune	VB
work_fljh2g733fa2fnxmkvwa4p3kby	511	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	512	1	To	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	512	2	demonstrate	demonstrate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	512	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	512	4	effectiveness	effectiveness	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	512	6	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	512	7	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	8	we	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	512	9	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	512	10	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	512	11	benchmark	benchmark	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	12	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	512	13	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	512	14	various	various	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	512	15	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	512	16	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	512	17	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	18	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	19	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	512	20	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	512	21	wide	wide	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	512	22	range	range	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	23	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	512	24	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	512	25	size	size	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	26	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	512	27	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	28	bias	bias	NN
work_fljh2g733fa2fnxmkvwa4p3kby	512	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	513	1	Tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	513	2	included	include	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	513	3	negative	negative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	513	4	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	513	5	positive	positive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	513	6	product	product	NN
work_fljh2g733fa2fnxmkvwa4p3kby	513	7	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	513	8	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	513	9	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	513	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	513	11	subjectivity	subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	513	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	513	13	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	513	14	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	513	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	513	16	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	513	17	spam	spam	NN
work_fljh2g733fa2fnxmkvwa4p3kby	513	18	filtering	filtering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	513	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	514	1	As	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	514	2	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	514	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	514	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	514	5	previous	previous	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	514	6	section	section	NN
work_fljh2g733fa2fnxmkvwa4p3kby	514	7	our	-PRON-	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	514	8	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	514	9	achieves	achieve	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	514	10	significantly	significantly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	514	11	higher	high	JJR
work_fljh2g733fa2fnxmkvwa4p3kby	514	12	accuracies	accuracy	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	514	13	than	than	IN
work_fljh2g733fa2fnxmkvwa4p3kby	514	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	514	15	best	good	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	514	16	reported	report	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	514	17	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	514	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	514	19	literature	literature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	514	20	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	514	21	most	most	JJS
work_fljh2g733fa2fnxmkvwa4p3kby	514	22	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	514	23	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	514	24	tested	test	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	514	25	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	514	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	515	1	This	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	515	2	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	515	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	515	4	fact	fact	NN
work_fljh2g733fa2fnxmkvwa4p3kby	515	5	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	515	6	it	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	515	7	requires	require	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	515	8	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	515	9	little	little	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	515	10	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	515	11	engineering	engineering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	515	12	makes	make	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	515	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	515	14	approach	approach	NN
work_fljh2g733fa2fnxmkvwa4p3kby	515	15	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	515	16	attractive	attractive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	515	17	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	515	18	various	various	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	515	19	applications	application	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	515	20	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	515	21	many	many	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	515	22	domains	domain	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	515	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	516	1	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	516	2	allows	allow	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	516	3	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	516	4	adaptive	adaptive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	516	5	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	516	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	516	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	516	8	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	516	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	516	10	Gibbs	Gibbs	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	516	11	sampling	sampling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	516	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	516	13	variational	variational	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	516	14	Bayesian	bayesian	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	516	15	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	516	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	516	17	which	which	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	516	18	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	516	19	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	516	20	very	very	RB
work_fljh2g733fa2fnxmkvwa4p3kby	516	21	useful	useful	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	516	22	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	516	23	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	516	24	Big	Big	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	516	25	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	516	26	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	516	27	streaming	streaming	NN
work_fljh2g733fa2fnxmkvwa4p3kby	516	28	applications	application	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	516	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	517	1	SDAs	sda	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	517	2	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	517	3	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	517	4	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	517	5	trained	train	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	517	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	517	7	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	517	8	online	online	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	517	9	manner	manner	NN
work_fljh2g733fa2fnxmkvwa4p3kby	517	10	making	make	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	517	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	517	12	whole	whole	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	517	13	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	517	14	adaptive	adaptive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	517	15	especially	especially	RB
work_fljh2g733fa2fnxmkvwa4p3kby	517	16	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	517	17	areas	area	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	517	18	such	such	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	517	19	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	517	20	micro	micro	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	517	21	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	517	22	blogging	blogging	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	517	23	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	517	24	social	social	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	517	25	media	medium	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	517	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	518	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	518	2	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	518	3	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	518	4	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	518	5	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	518	6	designed	design	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	518	7	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	518	8	provide	provide	VB
work_fljh2g733fa2fnxmkvwa4p3kby	518	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	518	10	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	518	11	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	518	12	text	text	NN
work_fljh2g733fa2fnxmkvwa4p3kby	518	13	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	518	14	tasks	task	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	518	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	519	1	Every	every	DT
work_fljh2g733fa2fnxmkvwa4p3kby	519	2	component	component	NN
work_fljh2g733fa2fnxmkvwa4p3kby	519	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	519	4	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	519	5	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	519	6	could	could	MD
work_fljh2g733fa2fnxmkvwa4p3kby	519	7	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	519	8	replaced	replace	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	519	9	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	519	10	another	another	DT
work_fljh2g733fa2fnxmkvwa4p3kby	519	11	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	519	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	520	1	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	520	2	could	could	MD
work_fljh2g733fa2fnxmkvwa4p3kby	520	3	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	520	4	example	example	NN
work_fljh2g733fa2fnxmkvwa4p3kby	520	5	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	520	6	replaced	replace	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	520	7	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	520	8	TSM	TSM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	520	9	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	520	10	JST	JST	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	520	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	521	1	SDA	sda	NN
work_fljh2g733fa2fnxmkvwa4p3kby	521	2	could	could	MD
work_fljh2g733fa2fnxmkvwa4p3kby	521	3	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	521	4	replaced	replace	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	521	5	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	521	6	other	other	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	521	7	representational	representational	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	521	8	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	521	9	algorithms	algorithm	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	521	10	including	include	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	521	11	Restrictive	Restrictive	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	521	12	Boltzmann	Boltzmann	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	521	13	Machines	Machines	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	521	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	521	15	RBM	RBM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	521	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	521	17	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	521	18	RNNs	rnn	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	521	19	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	521	20	RNN	RNN	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	521	21	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	521	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	522	1	It	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	522	2	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	522	3	also	also	RB
work_fljh2g733fa2fnxmkvwa4p3kby	522	4	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	522	5	easily	easily	RB
work_fljh2g733fa2fnxmkvwa4p3kby	522	6	extended	extend	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	522	7	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	522	8	multiple	multiple	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	522	9	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	522	10	problems	problem	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	522	11	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	522	12	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	522	13	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	522	14	vs	vs	IN
work_fljh2g733fa2fnxmkvwa4p3kby	522	15	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	522	16	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	522	17	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	522	18	one	one	CD
work_fljh2g733fa2fnxmkvwa4p3kby	522	19	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	522	20	vs	vs	IN
work_fljh2g733fa2fnxmkvwa4p3kby	522	21	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	522	22	all	all	DT
work_fljh2g733fa2fnxmkvwa4p3kby	522	23	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	522	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	523	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	523	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	523	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	523	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	523	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	524	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	524	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	524	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	524	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	524	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	524	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	524	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	525	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	525	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	525	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	525	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	525	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	525	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	525	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	525	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	525	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	525	10	26/32	26/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	525	11	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	525	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	.
work_fljh2g733fa2fnxmkvwa4p3kby	525	13	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	525	14	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	525	15	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	525	16	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	525	17	here	here	RB
work_fljh2g733fa2fnxmkvwa4p3kby	525	18	provides	provide	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	525	19	explanation	explanation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	525	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	525	21	why	why	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	525	22	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	525	23	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	525	24	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	525	25	work	work	VB
work_fljh2g733fa2fnxmkvwa4p3kby	525	26	well	well	RB
work_fljh2g733fa2fnxmkvwa4p3kby	525	27	within	within	IN
work_fljh2g733fa2fnxmkvwa4p3kby	525	28	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	525	29	presented	present	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	525	30	framework	framework	NN
work_fljh2g733fa2fnxmkvwa4p3kby	525	31	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	526	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	526	2	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	526	3	further	further	RB
work_fljh2g733fa2fnxmkvwa4p3kby	526	4	support	support	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	526	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	526	6	claims	claim	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	526	7	made	make	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	526	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	526	9	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	526	10	paper	paper	NN
work_fljh2g733fa2fnxmkvwa4p3kby	526	11	that	that	WDT
work_fljh2g733fa2fnxmkvwa4p3kby	526	12	SDA	SDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	526	13	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	526	14	able	able	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	526	15	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	526	16	model	model	VB
work_fljh2g733fa2fnxmkvwa4p3kby	526	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	526	18	complex	complex	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	526	19	structure	structure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	526	20	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	526	21	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	526	22	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	526	23	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	526	24	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	526	25	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	526	26	separate	separate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	526	27	them	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	526	28	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	526	29	achieve	achieve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	526	30	high	high	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	526	31	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	526	32	accuracy	accuracy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	526	33	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	527	1	ADDITIONAL	additional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	527	2	INFORMATION	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	527	3	AND	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	527	4	DECLARATIONS	declaration	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	527	5	Funding	fund	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	527	6	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	527	7	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	527	8	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	527	9	funded	fund	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	527	10	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	527	11	EPSRC	EPSRC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	527	12	UK	UK	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	527	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	528	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	528	2	funders	funder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	528	3	had	have	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	528	4	no	no	DT
work_fljh2g733fa2fnxmkvwa4p3kby	528	5	role	role	NN
work_fljh2g733fa2fnxmkvwa4p3kby	528	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	528	7	study	study	NN
work_fljh2g733fa2fnxmkvwa4p3kby	528	8	design	design	NN
work_fljh2g733fa2fnxmkvwa4p3kby	528	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	528	10	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	528	11	collection	collection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	528	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	528	13	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	528	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	528	15	decision	decision	NN
work_fljh2g733fa2fnxmkvwa4p3kby	528	16	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	528	17	publish	publish	VB
work_fljh2g733fa2fnxmkvwa4p3kby	528	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	528	19	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	528	20	preparation	preparation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	528	21	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	528	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	528	23	manuscript	manuscript	NN
work_fljh2g733fa2fnxmkvwa4p3kby	528	24	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	529	1	Grant	Grant	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	529	2	Disclosures	disclosure	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	529	3	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	529	4	following	follow	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	529	5	grant	grant	NN
work_fljh2g733fa2fnxmkvwa4p3kby	529	6	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	529	7	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	529	8	disclosed	disclose	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	529	9	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	529	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	529	11	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	529	12	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	529	13	EPSRC	EPSRC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	529	14	UK	UK	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	529	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	530	1	Competing	compete	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	530	2	Interests	interest	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	530	3	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	530	4	authors	author	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	530	5	declare	declare	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	530	6	that	that	IN
work_fljh2g733fa2fnxmkvwa4p3kby	530	7	they	-PRON-	PRP
work_fljh2g733fa2fnxmkvwa4p3kby	530	8	have	have	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	530	9	no	no	DT
work_fljh2g733fa2fnxmkvwa4p3kby	530	10	competing	compete	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	530	11	interests	interest	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	530	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	531	1	Author	author	NN
work_fljh2g733fa2fnxmkvwa4p3kby	531	2	Contributions	contribution	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	531	3	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	531	4	Noura	Noura	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	531	5	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	531	6	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	531	7	conceived	conceive	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	531	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	531	9	designed	design	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	531	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	531	11	experiments	experiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	531	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	531	13	performed	perform	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	531	14	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	531	15	experiments	experiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	531	16	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	531	17	analysed	analyse	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	531	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	531	19	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	531	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	531	21	performed	perform	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	531	22	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	531	23	computation	computation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	531	24	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	531	25	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	531	26	prepared	prepare	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	531	27	figures	figure	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	531	28	and/or	and/or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	531	29	tables	table	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	531	30	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	531	31	authored	author	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	531	32	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	531	33	reviewed	review	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	531	34	drafts	draft	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	531	35	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	531	36	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	531	37	paper	paper	NN
work_fljh2g733fa2fnxmkvwa4p3kby	531	38	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	531	39	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	531	40	approved	approve	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	531	41	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	531	42	final	final	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	531	43	draft	draft	NN
work_fljh2g733fa2fnxmkvwa4p3kby	531	44	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	532	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	532	2	Stephen	Stephen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	532	3	McGough	McGough	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	532	4	conceived	conceive	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	532	5	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	532	6	designed	design	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	532	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	532	8	experiments	experiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	532	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	532	10	authored	author	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	532	11	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	532	12	reviewed	review	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	532	13	drafts	draft	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	532	14	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	532	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	532	16	paper	paper	NN
work_fljh2g733fa2fnxmkvwa4p3kby	532	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	532	18	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	532	19	approved	approve	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	532	20	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	532	21	final	final	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	532	22	draft	draft	NN
work_fljh2g733fa2fnxmkvwa4p3kby	532	23	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	533	1	�	�	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	533	2	Bashar	Bashar	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	533	3	Awwad	Awwad	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	533	4	Shiekh	Shiekh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	533	5	Hasan	Hasan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	533	6	conceived	conceive	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	533	7	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	533	8	designed	design	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	533	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	533	10	experiments	experiment	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	533	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	533	12	analysed	analyse	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	533	13	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	533	14	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	533	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	533	16	performed	perform	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	533	17	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	533	18	computation	computation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	533	19	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	533	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	533	21	authored	author	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	533	22	or	or	CC
work_fljh2g733fa2fnxmkvwa4p3kby	533	23	reviewed	review	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	533	24	drafts	draft	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	533	25	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	533	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	533	27	paper	paper	NN
work_fljh2g733fa2fnxmkvwa4p3kby	533	28	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	533	29	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	533	30	approved	approve	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	533	31	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	533	32	final	final	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	533	33	draft	draft	NN
work_fljh2g733fa2fnxmkvwa4p3kby	533	34	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	534	1	Data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	534	2	Availability	availability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	534	3	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	534	4	following	follow	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	534	5	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	534	6	was	be	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	534	7	supplied	supply	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	534	8	regarding	regard	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	534	9	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	534	10	availability	availability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	534	11	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	534	12	Code	code	NN
work_fljh2g733fa2fnxmkvwa4p3kby	534	13	used	use	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	534	14	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	534	15	generate	generate	VB
work_fljh2g733fa2fnxmkvwa4p3kby	534	16	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	534	17	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	534	18	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	534	19	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	534	20	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	534	21	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	534	22	as	as	IN
work_fljh2g733fa2fnxmkvwa4p3kby	534	23	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	534	24	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	534	25	Supplemental	Supplemental	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	534	26	File	File	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	534	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	535	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	535	2	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	535	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	535	4	publicly	publicly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	535	5	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	535	6	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	535	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	535	8	following	follow	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	535	9	locations	location	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	535	10	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	535	11	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	535	12	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	535	13	Review	Review	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	535	14	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	535	15	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	535	16	IMDB	IMDB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	535	17	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	535	18	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	535	19	http://ai.stanford.edu/~amaas/data/sentiment/.	http://ai.stanford.edu/~amaas/data/sentiment/.	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	536	1	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	536	2	Reviews	Reviews	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	536	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	536	4	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	536	5	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	536	6	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	536	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	536	8	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	536	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	536	10	Rev1	Rev1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	536	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	536	12	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	536	13	https://www.kaggle.com/	https://www.kaggle.com/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	536	14	nltkdata	nltkdata	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	536	15	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	536	16	sentence	sentence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	536	17	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	536	18	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	536	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	537	1	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	537	2	Reviews	Reviews	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	537	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	537	4	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	537	5	scale	scale	NN
work_fljh2g733fa2fnxmkvwa4p3kby	537	6	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	537	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	537	8	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	537	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	537	10	Rev2	Rev2	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	537	11	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	537	12	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	537	13	https://www.kaggle.com/	https://www.kaggle.com/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	537	14	nltkdata	nltkdata	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	537	15	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	537	16	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	537	17	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	537	18	review	review	NN
work_fljh2g733fa2fnxmkvwa4p3kby	537	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	538	1	Subjectivity	subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	538	2	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	538	3	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	538	4	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	538	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	538	6	Sub	Sub	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	538	7	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	538	8	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	538	9	https://www.kaggle.com/nltkdata/subjectivity	https://www.kaggle.com/nltkdata/subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	538	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	539	1	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	539	2	SI650—Sentiment	SI650—Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	539	3	Classification	Classification	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	539	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	539	5	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	539	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	539	7	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	539	8	https://www.kaggle.com/	https://www.kaggle.com/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	539	9	seesea0203	seesea0203	NN
work_fljh2g733fa2fnxmkvwa4p3kby	539	10	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	539	11	umich	umich	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	539	12	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	539	13	si650-nlp	si650-nlp	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	539	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	540	1	SMS	SMS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	540	2	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	540	3	Collection	Collection	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	540	4	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	540	5	Set	Set	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	540	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	540	7	SMS	SMS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	540	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	540	9	Spam	Spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	540	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	540	11	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	540	12	https://www.kaggle.com/uciml/sms-	https://www.kaggle.com/uciml/sms-	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	540	13	spam	spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	540	14	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	540	15	collection	collection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	540	16	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	540	17	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	540	18	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	540	19	discussion/83197	discussion/83197	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	540	20	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	541	1	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	541	2	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	541	3	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	541	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	541	5	Multi	multi	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	541	6	-	-	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	541	7	Domain	Domain	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	541	8	Sentiment	Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	541	9	Dataset	Dataset	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	541	10	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	541	11	MDSD	MDSD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	541	12	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	541	13	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	541	14	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	541	15	https://www.cs.jhu	https://www.cs.jhu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	541	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	542	1	edu/~mdredze	edu/~mdredze	CD
work_fljh2g733fa2fnxmkvwa4p3kby	542	2	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	542	3	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	542	4	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	542	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	542	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	542	7	index2.html	index2.html	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	542	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	543	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	543	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	543	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	543	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	543	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	544	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	544	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	544	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	544	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	544	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	544	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	544	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	545	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	545	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	545	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	545	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	545	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	10	27/32	27/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	545	11	http://dx.doi.org/10.7717/peerj-cs.252#supplemental-information	http://dx.doi.org/10.7717/peerj-cs.252#supplemental-information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	545	12	http://ai.stanford.edu/~amaas/data/sentiment/	http://ai.stanford.edu/~amaas/data/sentiment/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	13	https://www.kaggle.com/nltkdata/sentence-polarity	https://www.kaggle.com/nltkdata/sentence-polarity	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	14	https://www.kaggle.com/nltkdata/sentence-polarity	https://www.kaggle.com/nltkdata/sentence-polarity	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	15	https://www.kaggle.com/nltkdata/movie-review	https://www.kaggle.com/nltkdata/movie-review	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	16	https://www.kaggle.com/nltkdata/movie-review	https://www.kaggle.com/nltkdata/movie-review	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	17	https://www.kaggle.com/nltkdata/subjectivity	https://www.kaggle.com/nltkdata/subjectivity	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	18	https://www.kaggle.com/seesea0203/umich-si650-nlp	https://www.kaggle.com/seesea0203/umich-si650-nlp	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	19	https://www.kaggle.com/seesea0203/umich-si650-nlp	https://www.kaggle.com/seesea0203/umich-si650-nlp	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	20	https://www.kaggle.com/uciml/sms-spam-collection-dataset/discussion/83197	https://www.kaggle.com/uciml/sms-spam-collection-dataset/discussion/83197	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	21	https://www.kaggle.com/uciml/sms-spam-collection-dataset/discussion/83197	https://www.kaggle.com/uciml/sms-spam-collection-dataset/discussion/83197	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	22	https://www.cs.jhu.edu/~mdredze/datasets/sentiment/index2.html	https://www.cs.jhu.edu/~mdredze/datasets/sentiment/index2.html	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	23	https://www.cs.jhu.edu/~mdredze/datasets/sentiment/index2.html	https://www.cs.jhu.edu/~mdredze/datasets/sentiment/index2.html	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	545	24	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	545	25	https://peerj.com/computer-science/	https://peerj.com/computer-science/	.
work_fljh2g733fa2fnxmkvwa4p3kby	545	26	Supplemental	Supplemental	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	27	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	28	Supplemental	supplemental	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	545	29	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	545	30	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	545	31	this	this	DT
work_fljh2g733fa2fnxmkvwa4p3kby	545	32	article	article	NN
work_fljh2g733fa2fnxmkvwa4p3kby	545	33	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	545	34	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	545	35	found	find	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	545	36	online	online	RB
work_fljh2g733fa2fnxmkvwa4p3kby	545	37	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	545	38	http://dx.doi.org/10.7717/	http://dx.doi.org/10.7717/	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	545	39	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	40	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	545	41	cs.252#supplemental	cs.252#supplemental	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	545	42	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	545	43	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	545	44	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	546	1	REFERENCES	REFERENCES	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	2	Agarwal	Agarwal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	3	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	546	5	Xie	Xie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	6	B	B	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	546	8	Vovsha	Vovsha	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	9	I	I	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	546	11	Rambow	Rambow	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	12	O	O	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	546	14	Passonneau	Passonneau	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	15	R.	R.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	546	16	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	546	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	547	1	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	547	2	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	547	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	547	4	Twitter	Twitter	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	547	5	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	547	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	548	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	548	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	548	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	548	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	548	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	548	6	Workshop	Workshop	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	548	7	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	548	8	Languages	Languages	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	548	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	548	10	Social	Social	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	548	11	Media	Media	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	548	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	548	13	LSM	LSM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	548	14	’	'	''
work_fljh2g733fa2fnxmkvwa4p3kby	548	15	11	11	CD
work_fljh2g733fa2fnxmkvwa4p3kby	548	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	549	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	549	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	549	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	549	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	549	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	549	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	549	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	549	8	30–38	30–38	CD
work_fljh2g733fa2fnxmkvwa4p3kby	549	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	550	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	550	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	550	3	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	550	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	550	5	Wall	Wall	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	550	6	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	550	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	550	8	McGough	McGough	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	550	9	AS	AS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	550	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	551	1	2017	2017	CD
work_fljh2g733fa2fnxmkvwa4p3kby	551	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	552	1	Identifying	identify	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	552	2	changes	change	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	552	3	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	552	4	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	552	5	cybersecurity	cybersecurity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	6	threat	threat	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	7	landscape	landscape	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	8	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	552	9	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	552	10	LDA	LDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	552	11	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	552	12	web	web	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	13	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	14	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	15	data	data	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	16	search	search	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	17	engine	engine	NN
work_fljh2g733fa2fnxmkvwa4p3kby	552	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	553	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	553	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	553	3	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	553	4	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	553	5	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	553	6	Human	Human	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	553	7	Aspects	Aspects	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	553	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	553	9	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	553	10	Security	Security	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	553	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	553	12	Privacy	Privacy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	553	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	553	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	553	15	Trust	Trust	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	553	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	554	1	Cham	Cham	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	554	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	554	3	Springer	Springer	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	554	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	554	5	287–295	287–295	CD
work_fljh2g733fa2fnxmkvwa4p3kby	554	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	555	1	Alain	alain	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	555	2	G	g	NN
work_fljh2g733fa2fnxmkvwa4p3kby	555	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	555	4	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	555	5	Y.	Y.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	556	1	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	556	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	557	1	What	what	WP
work_fljh2g733fa2fnxmkvwa4p3kby	557	2	regularized	regularize	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	557	3	auto	auto	NN
work_fljh2g733fa2fnxmkvwa4p3kby	557	4	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	557	5	encoders	encoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	557	6	learn	learn	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	557	7	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	557	8	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	557	9	data	data	NN
work_fljh2g733fa2fnxmkvwa4p3kby	557	10	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	557	11	generating	generate	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	557	12	distribution	distribution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	557	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	558	1	Journal	Journal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	558	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	558	3	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	558	4	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	558	5	Research	Research	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	558	6	15(1):3563–3593	15(1):3563–3593	CD
work_fljh2g733fa2fnxmkvwa4p3kby	558	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	559	1	Almeida	Almeida	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	559	2	TA	TA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	559	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	559	4	Hidalgo	Hidalgo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	559	5	JMG	JMG	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	559	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	559	7	Yamakami	Yamakami	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	559	8	A.	a.	NN
work_fljh2g733fa2fnxmkvwa4p3kby	560	1	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	560	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	561	1	Contributions	contribution	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	561	2	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	561	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	561	4	study	study	NN
work_fljh2g733fa2fnxmkvwa4p3kby	561	5	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	561	6	sms	sms	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	561	7	spam	spam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	561	8	filtering	filtering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	561	9	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	561	10	new	new	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	561	11	collection	collection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	561	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	561	13	results	result	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	561	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	562	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	562	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	562	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	562	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	562	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	562	6	11th	11th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	562	7	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	562	8	Symposium	Symposium	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	562	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	562	10	Document	Document	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	562	11	Engineering	Engineering	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	562	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	563	1	New	New	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	563	2	York	York	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	563	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	563	4	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	563	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	563	6	259–262	259–262	CD
work_fljh2g733fa2fnxmkvwa4p3kby	563	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	564	1	AlMoubayed	AlMoubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	564	2	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	564	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	564	4	Breckon	Breckon	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	564	5	T	T	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	564	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	564	7	Matthews	Matthews	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	564	8	P	P	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	564	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	564	10	McGough	McGough	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	564	11	S.	S.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	564	12	2016	2016	CD
work_fljh2g733fa2fnxmkvwa4p3kby	564	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	565	1	Sms	Sms	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	565	2	spam	spam	NN
work_fljh2g733fa2fnxmkvwa4p3kby	565	3	filtering	filtering	NN
work_fljh2g733fa2fnxmkvwa4p3kby	565	4	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	565	5	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	565	6	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	565	7	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	565	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	565	9	stacked	stack	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	565	10	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	565	11	autoencoder	autoencoder	NN
work_fljh2g733fa2fnxmkvwa4p3kby	565	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	566	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	566	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	566	3	25th	25th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	566	4	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	566	5	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	566	6	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	566	7	Artificial	Artificial	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	566	8	Neural	Neural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	566	9	Networks	Networks	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	566	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	567	1	Cham	Cham	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	567	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	567	3	Springer	Springer	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	567	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	567	5	423–430	423–430	CD
work_fljh2g733fa2fnxmkvwa4p3kby	567	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	568	1	Baccianella	Baccianella	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	568	2	S	S	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	568	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	568	4	Esuli	Esuli	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	568	5	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	568	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	568	7	Sebastiani	Sebastiani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	568	8	F.	F.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	568	9	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	568	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	569	1	Sentiwordnet	sentiwordnet	NN
work_fljh2g733fa2fnxmkvwa4p3kby	569	2	3.0	3.0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	569	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	569	4	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	569	5	enhanced	enhanced	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	569	6	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	569	7	resource	resource	NN
work_fljh2g733fa2fnxmkvwa4p3kby	569	8	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	569	9	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	569	10	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	569	11	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	569	12	opinion	opinion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	569	13	mining	mining	NN
work_fljh2g733fa2fnxmkvwa4p3kby	569	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	570	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	570	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	570	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	570	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	570	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	570	6	Seventh	Seventh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	570	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	570	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	570	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	570	10	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	570	11	Resources	Resources	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	570	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	570	13	Evaluation	Evaluation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	570	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	570	15	LREC'10	LREC'10	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	570	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	570	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	571	1	Vol	Vol	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	571	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	572	1	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	572	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	572	3	2200–2204	2200–2204	CD
work_fljh2g733fa2fnxmkvwa4p3kby	572	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	573	1	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	573	2	Y.	Y.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	574	1	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	574	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	575	1	Learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	575	2	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	575	3	architectures	architecture	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	575	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	575	5	AI	AI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	575	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	576	1	Foundations	foundation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	576	2	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	576	3	Trends	Trends	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	576	4	®	®	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	576	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	576	6	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	576	7	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	576	8	2(1):1–127	2(1):1–127	CD
work_fljh2g733fa2fnxmkvwa4p3kby	576	9	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	576	10	10.1561/2200000006	10.1561/2200000006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	576	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	577	1	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	577	2	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	577	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	577	4	Courville	Courville	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	577	5	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	577	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	577	7	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	577	8	P.	P.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	577	9	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	577	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	578	1	Representation	representation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	578	2	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	578	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	578	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	578	5	review	review	NN
work_fljh2g733fa2fnxmkvwa4p3kby	578	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	578	7	new	new	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	578	8	perspectives	perspective	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	578	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	579	1	IEEE	IEEE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	579	2	Transactions	transaction	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	579	3	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	579	4	Pattern	Pattern	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	579	5	Analysis	Analysis	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	579	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	579	7	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	579	8	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	579	9	35(8):1798–1828	35(8):1798–1828	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	579	10	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	579	11	10.1109	10.1109	CD
work_fljh2g733fa2fnxmkvwa4p3kby	579	12	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	579	13	TPAMI.2013.50	tpami.2013.50	NN
work_fljh2g733fa2fnxmkvwa4p3kby	579	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	580	1	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	580	2	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	580	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	580	4	Courville	Courville	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	580	5	AC	AC	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	580	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	580	7	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	580	8	P.	P.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	580	9	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	580	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	581	1	Unsupervised	unsupervise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	581	2	feature	feature	NN
work_fljh2g733fa2fnxmkvwa4p3kby	581	3	learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	581	4	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	581	5	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	581	6	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	581	7	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	581	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	581	9	review	review	NN
work_fljh2g733fa2fnxmkvwa4p3kby	581	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	581	11	new	new	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	581	12	perspectives	perspective	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	581	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	582	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	582	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	582	3	http://arxiv.org/abs/1206.5538	http://arxiv.org/abs/1206.5538	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	582	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	583	1	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	583	2	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	583	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	583	4	Carin	Carin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	583	5	L	L	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	583	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	583	7	Dunson	Dunson	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	583	8	D.	D.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	583	9	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	583	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	584	1	Probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	584	2	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	584	3	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	584	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	585	1	IEEE	IEEE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	585	2	Signal	Signal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	585	3	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	585	4	Magazine	Magazine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	585	5	27(6):55–65	27(6):55–65	CD
work_fljh2g733fa2fnxmkvwa4p3kby	585	6	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	585	7	10.1109	10.1109	CD
work_fljh2g733fa2fnxmkvwa4p3kby	585	8	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	585	9	MSP.2010.938079	MSP.2010.938079	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	585	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	586	1	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	586	2	DM	DM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	586	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	587	1	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	587	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	588	1	Probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	588	2	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	588	3	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	588	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	589	1	Communications	communication	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	589	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	589	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	589	4	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	589	5	55(4):77–84	55(4):77–84	CD
work_fljh2g733fa2fnxmkvwa4p3kby	589	6	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	589	7	10.1145/2133806.2133826	10.1145/2133806.2133826	CD
work_fljh2g733fa2fnxmkvwa4p3kby	589	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	590	1	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	590	2	DM	DM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	590	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	590	4	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	590	5	AY	AY	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	590	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	590	7	Jordan	Jordan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	590	8	MI	MI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	590	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	591	1	2003	2003	CD
work_fljh2g733fa2fnxmkvwa4p3kby	591	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	592	1	Latent	Latent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	592	2	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	592	3	allocation	allocation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	592	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	593	1	Journal	Journal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	593	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	593	3	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	593	4	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	593	5	Research	Research	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	593	6	3(4–5):993–1022	3(4–5):993–1022	CD
work_fljh2g733fa2fnxmkvwa4p3kby	593	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	594	1	Blitzer	Blitzer	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	594	2	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	594	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	594	4	Dredze	Dredze	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	594	5	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	594	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	594	7	Pereira	Pereira	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	594	8	F.	F.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	594	9	2007	2007	CD
work_fljh2g733fa2fnxmkvwa4p3kby	594	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	595	1	Biographies	biography	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	595	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	595	3	bollywood	bollywood	NN
work_fljh2g733fa2fnxmkvwa4p3kby	595	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	595	5	boom	boom	NN
work_fljh2g733fa2fnxmkvwa4p3kby	595	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	595	7	boxes	box	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	595	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	595	9	blenders	blender	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	595	10	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	595	11	domain	domain	NN
work_fljh2g733fa2fnxmkvwa4p3kby	595	12	adaptation	adaptation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	595	13	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	595	14	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	595	15	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	595	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	596	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	596	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	596	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	596	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	596	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	596	6	45th	45th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	596	7	Annual	Annual	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	596	8	Meeting	Meeting	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	596	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	596	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	596	11	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	596	12	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	596	13	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	596	14	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	596	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	597	1	Prague	Prague	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	597	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	597	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	597	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	597	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	597	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	597	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	597	8	Vol	Vol	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	597	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	598	1	7	7	CD
work_fljh2g733fa2fnxmkvwa4p3kby	598	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	598	3	440–447	440–447	CD
work_fljh2g733fa2fnxmkvwa4p3kby	598	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	599	1	Bollegala	Bollegala	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	599	2	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	599	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	599	4	Weir	Weir	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	599	5	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	599	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	599	7	Carroll	Carroll	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	599	8	J.	J.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	600	1	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	600	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	601	1	Cross	cross	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	601	2	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	601	3	domain	domain	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	601	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	601	5	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	601	6	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	601	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	601	8	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	601	9	sensitive	sensitive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	601	10	thesaurus	thesaurus	NN
work_fljh2g733fa2fnxmkvwa4p3kby	601	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	602	1	IEEE	IEEE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	602	2	Transactions	transaction	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	602	3	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	602	4	Knowledge	Knowledge	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	602	5	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	602	6	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	602	7	Engineering	Engineering	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	602	8	25(8):1719–1731	25(8):1719–1731	CD
work_fljh2g733fa2fnxmkvwa4p3kby	602	9	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	602	10	10.1109	10.1109	CD
work_fljh2g733fa2fnxmkvwa4p3kby	602	11	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	602	12	TKDE.2012.103	TKDE.2012.103	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	602	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	603	1	Bourlard	Bourlard	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	603	2	H	H	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	603	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	603	4	Kamp	Kamp	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	603	5	Y.	Y.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	604	1	1988	1988	CD
work_fljh2g733fa2fnxmkvwa4p3kby	604	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	605	1	Auto	Auto	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	605	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	605	3	association	association	NN
work_fljh2g733fa2fnxmkvwa4p3kby	605	4	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	605	5	multilayer	multilayer	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	605	6	perceptrons	perceptron	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	605	7	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	605	8	singular	singular	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	605	9	value	value	NN
work_fljh2g733fa2fnxmkvwa4p3kby	605	10	decomposition	decomposition	NN
work_fljh2g733fa2fnxmkvwa4p3kby	605	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	606	1	Biological	biological	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	606	2	Cybernetics	cybernetic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	606	3	59(4–5):291–294	59(4–5):291–294	CD
work_fljh2g733fa2fnxmkvwa4p3kby	606	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	606	5	10.1007	10.1007	CD
work_fljh2g733fa2fnxmkvwa4p3kby	606	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	606	7	BF00332918	BF00332918	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	606	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	607	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	607	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	607	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	607	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	607	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	608	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	608	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	608	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	608	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	608	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	608	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	608	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	609	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	609	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	609	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	609	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	609	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	10	28/32	28/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	609	11	http://dx.doi.org/10.7717/peerj-cs.252#supplemental-information	http://dx.doi.org/10.7717/peerj-cs.252#supplemental-information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	12	http://dx.doi.org/10.7717/peerj-cs.252#supplemental-information	http://dx.doi.org/10.7717/peerj-cs.252#supplemental-information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	13	http://dx.doi.org/10.1561/2200000006	http://dx.doi.org/10.1561/2200000006	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	14	http://dx.doi.org/10.1109/TPAMI.2013.50	http://dx.doi.org/10.1109/TPAMI.2013.50	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	15	http://arxiv.org/abs/1206.5538	http://arxiv.org/abs/1206.5538	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	16	http://dx.doi.org/10.1109/MSP.2010.938079	http://dx.doi.org/10.1109/msp.2010.938079	NN
work_fljh2g733fa2fnxmkvwa4p3kby	609	17	http://dx.doi.org/10.1145/2133806.2133826	http://dx.doi.org/10.1145/2133806.2133826	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	18	http://dx.doi.org/10.1109/TKDE.2012.103	http://dx.doi.org/10.1109/TKDE.2012.103	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	19	http://dx.doi.org/10.1007/BF00332918	http://dx.doi.org/10.1007/bf00332918	CD
work_fljh2g733fa2fnxmkvwa4p3kby	609	20	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	609	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_fljh2g733fa2fnxmkvwa4p3kby	609	22	Bradley	Bradley	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	23	MM	MM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	609	25	Lang	Lang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	26	PJ	PJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	609	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	610	1	1999	1999	CD
work_fljh2g733fa2fnxmkvwa4p3kby	610	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	611	1	Affective	affective	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	611	2	norms	norm	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	611	3	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	611	4	English	english	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	611	5	words	word	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	611	6	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	611	7	anew	anew	RB
work_fljh2g733fa2fnxmkvwa4p3kby	611	8	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	611	9	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	611	10	instruction	instruction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	611	11	manual	manual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	611	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	611	13	affective	affective	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	611	14	ratings	rating	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	611	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	612	1	Technical	technical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	612	2	report	report	NN
work_fljh2g733fa2fnxmkvwa4p3kby	612	3	C-1	C-1	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	612	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	613	1	The	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	613	2	Center	Center	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	613	3	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	613	4	Research	Research	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	613	5	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	613	6	Psychophysiology	Psychophysiology	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	613	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	613	8	University	University	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	613	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	613	10	Florida	Florida	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	613	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	614	1	Bravo	Bravo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	614	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	614	3	Marquez	Marquez	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	614	4	F	F	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	614	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	614	6	Mendoza	Mendoza	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	614	7	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	614	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	614	9	Poblete	Poblete	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	614	10	B.	B.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	615	1	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	615	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	616	1	Combining	combine	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	616	2	strengths	strength	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	616	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	616	4	emotions	emotion	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	616	5	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	616	6	polarities	polarity	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	616	7	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	616	8	boosting	boost	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	616	9	twitter	twitter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	616	10	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	616	11	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	616	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	617	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	617	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	617	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	617	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	617	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	617	6	Second	Second	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	617	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	617	8	Workshop	Workshop	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	617	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	617	10	Issues	Issues	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	617	11	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	617	12	Sentiment	Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	617	13	Discovery	Discovery	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	617	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	617	15	Opinion	Opinion	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	617	16	Mining	Mining	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	617	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	618	1	New	New	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	618	2	York	York	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	618	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	618	4	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	618	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	618	6	Computing	Computing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	618	7	Machinery	Machinery	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	618	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	618	9	2	2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	618	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	619	1	Cambria	Cambria	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	619	2	E	E	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	619	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	619	4	Havasi	Havasi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	619	5	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	619	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	619	7	Hussain	Hussain	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	619	8	A.	a.	NN
work_fljh2g733fa2fnxmkvwa4p3kby	620	1	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	620	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	621	1	Senticnet	Senticnet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	621	2	2	2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	621	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	621	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	621	5	semantic	semantic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	621	6	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	621	7	affective	affective	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	621	8	resource	resource	NN
work_fljh2g733fa2fnxmkvwa4p3kby	621	9	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	621	10	opinion	opinion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	621	11	mining	mining	NN
work_fljh2g733fa2fnxmkvwa4p3kby	621	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	621	13	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	621	14	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	621	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	622	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	622	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	622	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	622	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	622	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	622	6	25th	25th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	622	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	622	8	Florida	Florida	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	622	9	Artificial	Artificial	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	622	10	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	622	11	Research	Research	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	622	12	Society	Society	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	622	13	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	622	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	623	1	202–207	202–207	CD
work_fljh2g733fa2fnxmkvwa4p3kby	623	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	624	1	Canini	canini	NN
work_fljh2g733fa2fnxmkvwa4p3kby	624	2	K	K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	624	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	624	4	Shi	Shi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	624	5	L	L	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	624	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	624	7	Griffiths	Griffiths	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	624	8	T.	T.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	624	9	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	624	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	625	1	Online	online	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	625	2	inference	inference	NN
work_fljh2g733fa2fnxmkvwa4p3kby	625	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	625	4	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	625	5	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	625	6	latent	latent	NN
work_fljh2g733fa2fnxmkvwa4p3kby	625	7	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	625	8	allocation	allocation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	625	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	626	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	626	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	626	3	Proceedings	Proceedings	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	626	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	626	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	626	6	Twelth	Twelth	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	626	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	626	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	626	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	626	10	Artificial	Artificial	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	626	11	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	626	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	626	13	Statistics	Statistics	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	626	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	627	1	65–72	65–72	CD
work_fljh2g733fa2fnxmkvwa4p3kby	627	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	628	1	Clement	Clement	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	628	2	J.	J.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	629	1	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	629	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	630	1	Number	number	NN
work_fljh2g733fa2fnxmkvwa4p3kby	630	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	630	3	monthly	monthly	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	630	4	active	active	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	630	5	Twitter	Twitter	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	630	6	users	user	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	630	7	worldwide	worldwide	RB
work_fljh2g733fa2fnxmkvwa4p3kby	630	8	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	630	9	1st	1st	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	630	10	quarter	quarter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	630	11	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	630	12	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	630	13	1st	1st	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	630	14	quarter	quarter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	630	15	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	630	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	631	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	631	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	631	3	https://www.statista.com/statistics/282087/number-of-monthly-active-	https://www.statista.com/statistics/282087/number-of-monthly-active-	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	631	4	twitter	twitter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	631	5	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	631	6	users/.	users/.	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	632	1	Collobert	Collobert	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	2	R	R	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	632	4	Weston	Weston	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	5	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	632	7	Bottou	Bottou	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	8	L	L	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	632	10	Karlen	Karlen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	11	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	632	13	Kavukcuoglu	Kavukcuoglu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	14	K	K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	632	16	Kuksa	Kuksa	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	17	P.	P.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	632	18	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	632	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	633	1	Natural	natural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	633	2	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	633	3	processing	processing	NN
work_fljh2g733fa2fnxmkvwa4p3kby	633	4	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	633	5	almost	almost	RB
work_fljh2g733fa2fnxmkvwa4p3kby	633	6	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	633	7	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	633	8	scratch	scratch	NN
work_fljh2g733fa2fnxmkvwa4p3kby	633	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	634	1	Journal	Journal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	634	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	634	3	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	634	4	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	634	5	Research	Research	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	634	6	12(August):2493–2537	12(august):2493–2537	CD
work_fljh2g733fa2fnxmkvwa4p3kby	634	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	635	1	Dang	Dang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	635	2	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	635	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	635	4	Zhang	Zhang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	635	5	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	635	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	635	7	Chen	Chen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	635	8	H.	H.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	635	9	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	635	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	636	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	636	2	lexicon	lexicon	NN
work_fljh2g733fa2fnxmkvwa4p3kby	636	3	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	636	4	enhanced	enhanced	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	636	5	method	method	NN
work_fljh2g733fa2fnxmkvwa4p3kby	636	6	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	636	7	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	636	8	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	636	9	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	636	10	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	636	11	experiment	experiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	636	12	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	636	13	online	online	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	636	14	product	product	NN
work_fljh2g733fa2fnxmkvwa4p3kby	636	15	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	636	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	637	1	IEEE	IEEE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	637	2	Intelligent	Intelligent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	637	3	Systems	Systems	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	637	4	25(4):46–53	25(4):46–53	CD
work_fljh2g733fa2fnxmkvwa4p3kby	637	5	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	637	6	10.1109	10.1109	CD
work_fljh2g733fa2fnxmkvwa4p3kby	637	7	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	637	8	MIS.2009.105	MIS.2009.105	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	637	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	638	1	Eguchi	Eguchi	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	638	2	K	K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	638	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	638	4	Lavrenko	Lavrenko	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	638	5	V.	V.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	638	6	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	638	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	639	1	Sentiment	Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	639	2	retrieval	retrieval	NN
work_fljh2g733fa2fnxmkvwa4p3kby	639	3	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	639	4	generative	generative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	639	5	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	639	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	640	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	640	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	640	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	640	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	640	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	640	6	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	640	7	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	640	8	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	640	9	Empirical	Empirical	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	640	10	Methods	Methods	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	640	11	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	640	12	Natural	Natural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	640	13	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	640	14	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	640	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	641	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	641	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	641	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	641	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	641	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	641	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	641	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	641	8	345–354	345–354	CD
work_fljh2g733fa2fnxmkvwa4p3kby	641	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	642	1	Erhan	Erhan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	2	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	642	4	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	5	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	642	7	Courville	Courville	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	8	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	642	10	Manzagol	Manzagol	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	11	P	P	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	12	-	-	:
work_fljh2g733fa2fnxmkvwa4p3kby	642	13	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	642	15	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	16	P	P	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	17	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	642	18	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	19	S.	S.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	642	20	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	642	21	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	643	1	Why	why	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	643	2	does	do	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	643	3	unsupervised	unsupervise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	643	4	pre	pre	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	643	5	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	643	6	training	training	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	643	7	help	help	NN
work_fljh2g733fa2fnxmkvwa4p3kby	643	8	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	643	9	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	643	10	?	?	.
work_fljh2g733fa2fnxmkvwa4p3kby	644	1	Journal	Journal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	644	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	644	3	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	644	4	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	644	5	Research	Research	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	644	6	11:625–660	11:625–660	CD
work_fljh2g733fa2fnxmkvwa4p3kby	644	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	645	1	Esuli	Esuli	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	645	2	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	645	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	645	4	Sebastiani	Sebastiani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	645	5	F.	F.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	645	6	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	645	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	646	1	Sentiwordnet	sentiwordnet	NN
work_fljh2g733fa2fnxmkvwa4p3kby	646	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	646	3	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	646	4	publicly	publicly	RB
work_fljh2g733fa2fnxmkvwa4p3kby	646	5	available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	646	6	lexical	lexical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	646	7	resource	resource	NN
work_fljh2g733fa2fnxmkvwa4p3kby	646	8	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	646	9	opinion	opinion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	646	10	mining	mining	NN
work_fljh2g733fa2fnxmkvwa4p3kby	646	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	647	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	647	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	647	3	Proceedings	Proceedings	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	647	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	647	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	647	6	Fifth	Fifth	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	647	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	647	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	647	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	647	10	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	647	11	Resources	Resources	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	647	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	647	13	Evaluation	Evaluation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	647	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	647	15	LREC’06	LREC’06	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	647	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	647	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	648	1	Genoa	Genoa	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	648	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	648	3	European	European	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	648	4	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	648	5	Resources	Resources	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	648	6	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	648	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	648	8	ELRA	ELRA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	648	9	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	648	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	649	1	Vol	Vol	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	649	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	650	1	6	6	CD
work_fljh2g733fa2fnxmkvwa4p3kby	650	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	650	3	417–422	417–422	CD
work_fljh2g733fa2fnxmkvwa4p3kby	650	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	651	1	Go	go	VB
work_fljh2g733fa2fnxmkvwa4p3kby	651	2	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	651	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	651	4	Bhayani	Bhayani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	651	5	R	R	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	651	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	651	7	Huang	Huang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	651	8	L.	L.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	651	9	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	651	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	652	1	Twitter	twitter	NN
work_fljh2g733fa2fnxmkvwa4p3kby	652	2	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	652	3	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	652	4	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	652	5	distant	distant	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	652	6	supervision	supervision	NN
work_fljh2g733fa2fnxmkvwa4p3kby	652	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	653	1	CS224N	CS224N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	653	2	Project	Project	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	653	3	Report	Report	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	653	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	654	1	1	1	LS
work_fljh2g733fa2fnxmkvwa4p3kby	654	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	654	3	Stanford	Stanford	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	654	4	University	University	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	654	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	654	6	12	12	CD
work_fljh2g733fa2fnxmkvwa4p3kby	654	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	655	1	Green	green	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	655	2	D	d	NN
work_fljh2g733fa2fnxmkvwa4p3kby	655	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	655	4	Swets	Swets	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	655	5	J.	J.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	656	1	1966	1966	CD
work_fljh2g733fa2fnxmkvwa4p3kby	656	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	657	1	Signal	signal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	657	2	detection	detection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	657	3	theory	theory	NN
work_fljh2g733fa2fnxmkvwa4p3kby	657	4	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	657	5	psychophysics	psychophysic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	657	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	658	1	Society	society	NN
work_fljh2g733fa2fnxmkvwa4p3kby	658	2	1:521	1:521	CD
work_fljh2g733fa2fnxmkvwa4p3kby	658	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	659	1	Hinton	Hinton	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	659	2	GE	GE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	659	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	659	4	Osindero	Osindero	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	659	5	S	S	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	659	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	659	7	Teh	Teh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	659	8	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	659	9	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	659	10	W.	W.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	659	11	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	659	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	660	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	660	2	fast	fast	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	660	3	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	660	4	algorithm	algorithm	NN
work_fljh2g733fa2fnxmkvwa4p3kby	660	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	660	6	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	660	7	belief	belief	NN
work_fljh2g733fa2fnxmkvwa4p3kby	660	8	nets	net	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	660	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	661	1	Neural	Neural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	661	2	Computation	Computation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	661	3	18(7):1527–1554	18(7):1527–1554	CD
work_fljh2g733fa2fnxmkvwa4p3kby	661	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	661	5	10.1162	10.1162	CD
work_fljh2g733fa2fnxmkvwa4p3kby	661	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	661	7	neco.2006.18.7.1527	neco.2006.18.7.1527	CD
work_fljh2g733fa2fnxmkvwa4p3kby	661	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	662	1	Hinton	Hinton	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	662	2	GE	GE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	662	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	662	4	Salakhutdinov	Salakhutdinov	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	662	5	RR	RR	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	662	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	663	1	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	663	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	664	1	Reducing	reduce	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	664	2	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	664	3	dimensionality	dimensionality	NN
work_fljh2g733fa2fnxmkvwa4p3kby	664	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	664	5	data	datum	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	664	6	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	664	7	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	664	8	networks	network	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	664	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	665	1	Science	Science	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	665	2	313(5786):504–507	313(5786):504–507	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	665	3	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	665	4	10.1126	10.1126	CD
work_fljh2g733fa2fnxmkvwa4p3kby	665	5	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	665	6	science.1127647	science.1127647	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	665	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	666	1	Hinton	Hinton	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	666	2	GE	GE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	666	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	666	4	Zemel	Zemel	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	666	5	RS	RS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	666	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	667	1	1994	1994	CD
work_fljh2g733fa2fnxmkvwa4p3kby	667	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	668	1	Autoencoders	autoencoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	668	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	668	3	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	668	4	description	description	NN
work_fljh2g733fa2fnxmkvwa4p3kby	668	5	length	length	NN
work_fljh2g733fa2fnxmkvwa4p3kby	668	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	668	7	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	668	8	helmholtz	helmholtz	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	668	9	free	free	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	668	10	energy	energy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	668	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	669	1	Advances	advance	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	669	2	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	669	3	Neural	Neural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	669	4	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	669	5	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	669	6	Systems	Systems	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	669	7	6:3	6:3	CD
work_fljh2g733fa2fnxmkvwa4p3kby	669	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	670	1	Hofmann	Hofmann	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	670	2	T.	T.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	670	3	1999	1999	CD
work_fljh2g733fa2fnxmkvwa4p3kby	670	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	671	1	Probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	671	2	latent	latent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	671	3	semantic	semantic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	671	4	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	671	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	672	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	672	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	672	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	672	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	672	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	672	6	Fifteenth	Fifteenth	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	672	7	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	672	8	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	672	9	Uncertainty	Uncertainty	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	672	10	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	672	11	Artificial	Artificial	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	672	12	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	672	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	673	1	Burlington	Burlington	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	673	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	673	3	Morgan	Morgan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	673	4	Kaufmann	Kaufmann	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	673	5	Publishers	Publishers	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	673	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	673	7	289–296	289–296	CD
work_fljh2g733fa2fnxmkvwa4p3kby	673	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	674	1	Hong	Hong	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	674	2	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	674	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	674	4	Fang	Fang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	674	5	M.	M.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	674	6	2015	2015	CD
work_fljh2g733fa2fnxmkvwa4p3kby	674	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	675	1	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	675	2	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	675	3	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	675	4	deeply	deeply	RB
work_fljh2g733fa2fnxmkvwa4p3kby	675	5	learned	learn	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	675	6	distributed	distributed	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	675	7	representations	representation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	675	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	675	9	variable	variable	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	675	10	length	length	NN
work_fljh2g733fa2fnxmkvwa4p3kby	675	11	texts	text	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	675	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	676	1	Stanford	Stanford	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	676	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	676	3	Stanford	Stanford	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	676	4	University	University	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	676	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	677	1	Huh	huh	UH
work_fljh2g733fa2fnxmkvwa4p3kby	677	2	S	S	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	677	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	677	4	Fienberg	Fienberg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	677	5	SE	SE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	677	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	678	1	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	678	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	679	1	Discriminative	discriminative	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	679	2	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	679	3	modeling	modeling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	679	4	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	679	5	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	679	6	manifold	manifold	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	679	7	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	679	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	680	1	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	680	2	Transactions	Transactions	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	680	3	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	680	4	Knowledge	Knowledge	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	680	5	Discovery	Discovery	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	680	6	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	680	7	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	680	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	680	9	TKDD	TKDD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	680	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	680	11	5(4):20–25	5(4):20–25	CD
work_fljh2g733fa2fnxmkvwa4p3kby	680	12	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	680	13	10.1145/2086737.2086740	10.1145/2086737.2086740	CD
work_fljh2g733fa2fnxmkvwa4p3kby	680	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	681	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	681	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	681	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	681	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	681	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	682	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	682	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	682	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	682	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	682	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	682	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	682	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	683	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	683	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	683	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	683	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	683	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	10	29/32	29/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	683	11	https://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/	https://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	683	12	https://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/	https://www.statista.com/statistics/282087/number-of-monthly-active-twitter-users/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	13	http://dx.doi.org/10.1109/MIS.2009.105	http://dx.doi.org/10.1109/MIS.2009.105	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	14	http://dx.doi.org/10.1162/neco.2006.18.7.1527	http://dx.doi.org/10.1162/neco.2006.18.7.1527	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	15	http://dx.doi.org/10.1126/science.1127647	http://dx.doi.org/10.1126/science.1127647	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	16	http://dx.doi.org/10.1145/2086737.2086740	http://dx.doi.org/10.1145/2086737.2086740	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	17	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	18	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	19	Japkowicz	Japkowicz	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	20	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	21	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	683	22	Hanson	Hanson	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	23	SJ	SJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	24	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	683	25	Gluck	Gluck	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	26	MA	MA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	683	27	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	684	1	2000	2000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	684	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	685	1	Nonlinear	nonlinear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	685	2	autoassociation	autoassociation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	685	3	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	685	4	not	not	RB
work_fljh2g733fa2fnxmkvwa4p3kby	685	5	equivalent	equivalent	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	685	6	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	685	7	PCA	PCA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	685	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	686	1	Neural	Neural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	686	2	Computation	Computation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	686	3	12(3):531–545	12(3):531–545	CD
work_fljh2g733fa2fnxmkvwa4p3kby	686	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	686	5	10.1162/089976600300015691	10.1162/089976600300015691	CD
work_fljh2g733fa2fnxmkvwa4p3kby	686	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	687	1	Jo	Jo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	687	2	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	687	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	687	4	Oh	oh	UH
work_fljh2g733fa2fnxmkvwa4p3kby	687	5	AH	AH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	687	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	688	1	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	688	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	689	1	Aspect	aspect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	689	2	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	689	3	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	689	4	unification	unification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	689	5	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	689	6	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	689	7	online	online	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	689	8	review	review	NN
work_fljh2g733fa2fnxmkvwa4p3kby	689	9	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	689	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	690	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	690	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	690	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	690	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	690	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	690	6	Fourth	Fourth	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	690	7	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	690	8	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	690	9	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	690	10	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	690	11	Web	Web	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	690	12	Search	Search	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	690	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	690	14	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	690	15	Mining	Mining	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	690	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	691	1	New	New	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	691	2	York	York	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	691	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	691	4	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	691	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	691	6	815–824	815–824	CD
work_fljh2g733fa2fnxmkvwa4p3kby	691	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	692	1	Kalchbrenner	Kalchbrenner	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	692	2	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	692	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	692	4	Grefenstette	Grefenstette	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	692	5	E	E	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	692	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	692	7	Blunsom	Blunsom	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	692	8	P.	P.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	692	9	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	692	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	693	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	693	2	convolutional	convolutional	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	693	3	neural	neural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	693	4	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	693	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	693	6	modelling	modelling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	693	7	sentences	sentence	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	693	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	694	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	694	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	694	3	http://arxiv.org/abs/1404.2188	http://arxiv.org/abs/1404.2188	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	694	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	695	1	Kennedy	Kennedy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	695	2	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	695	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	695	4	Inkpen	Inkpen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	695	5	D.	D.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	695	6	2006	2006	CD
work_fljh2g733fa2fnxmkvwa4p3kby	695	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	696	1	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	696	2	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	696	3	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	696	4	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	696	5	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	696	6	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	696	7	contextual	contextual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	696	8	valence	valence	NN
work_fljh2g733fa2fnxmkvwa4p3kby	696	9	shifters	shifter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	696	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	697	1	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	697	2	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	697	3	22(2):110–125	22(2):110–125	CD
work_fljh2g733fa2fnxmkvwa4p3kby	697	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	697	5	10.1111	10.1111	CD
work_fljh2g733fa2fnxmkvwa4p3kby	697	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	697	7	j.1467	j.1467	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	697	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	697	9	8640.2006.00277.x	8640.2006.00277.x	CD
work_fljh2g733fa2fnxmkvwa4p3kby	697	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	698	1	Lakkaraju	lakkaraju	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	698	2	H	h	NN
work_fljh2g733fa2fnxmkvwa4p3kby	698	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	698	4	Socher	Socher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	698	5	R	R	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	698	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	698	7	Manning	Manning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	698	8	C.	C.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	698	9	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	698	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	699	1	Aspect	aspect	VB
work_fljh2g733fa2fnxmkvwa4p3kby	699	2	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	699	3	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	699	4	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	699	5	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	699	6	hierarchical	hierarchical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	699	7	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	699	8	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	699	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	700	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	700	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	700	3	Deep	Deep	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	700	4	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	700	5	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	700	6	Representation	Representation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	700	7	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	700	8	Workshop	Workshop	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	700	9	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	700	10	NIPS	NIPS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	700	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	700	12	12	12	CD
work_fljh2g733fa2fnxmkvwa4p3kby	700	13	December	December	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	700	14	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	700	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	700	16	Montreal	Montreal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	700	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	701	1	Li	Li	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	2	S	S	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	701	4	Huang	Huang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	5	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	701	7	R	R	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	8	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	701	9	Zhou	Zhou	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	10	G	G	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	11	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	701	12	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	13	SYM	SYM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	701	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	702	1	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	702	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	703	1	Employing	employ	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	703	2	personal	personal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	703	3	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	703	4	impersonal	impersonal	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	703	5	views	view	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	703	6	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	703	7	supervised	supervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	703	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	703	9	semi	semi	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	703	10	-	-	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	703	11	supervised	supervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	703	12	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	703	13	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	703	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	704	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	704	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	704	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	704	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	704	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	704	6	48th	48th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	704	7	Annual	Annual	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	704	8	Meeting	Meeting	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	704	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	704	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	704	11	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	704	12	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	704	13	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	704	14	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	704	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	705	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	705	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	705	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	705	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	705	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	705	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	705	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	705	8	414–423	414–423	CD
work_fljh2g733fa2fnxmkvwa4p3kby	705	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	706	1	Lin	Lin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	706	2	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	706	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	706	4	He	He	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	706	5	Y.	Y.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	707	1	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	707	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	708	1	Joint	joint	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	708	2	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	708	3	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	708	4	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	708	5	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	708	6	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	708	7	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	708	8	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	708	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	709	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	709	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	709	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	709	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	709	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	709	6	18th	18th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	709	7	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	709	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	709	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	709	10	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	709	11	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	709	12	Knowledge	Knowledge	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	709	13	Management	Management	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	709	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	710	1	New	New	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	710	2	York	York	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	710	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	710	4	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	710	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	710	6	375–384	375–384	CD
work_fljh2g733fa2fnxmkvwa4p3kby	710	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	711	1	Liu	Liu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	711	2	B.	B.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	712	1	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	712	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	713	1	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	713	2	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	713	3	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	713	4	opinion	opinion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	713	5	mining	mining	NN
work_fljh2g733fa2fnxmkvwa4p3kby	713	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	714	1	Synthesis	Synthesis	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	714	2	Lectures	Lectures	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	714	3	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	714	4	Human	Human	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	714	5	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	714	6	Technologies	Technologies	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	714	7	5(1):1–167	5(1):1–167	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	714	8	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	714	9	10.2200	10.2200	CD
work_fljh2g733fa2fnxmkvwa4p3kby	714	10	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	714	11	S00416ED1V01Y201204HLT016	s00416ed1v01y201204hlt016	NN
work_fljh2g733fa2fnxmkvwa4p3kby	714	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	715	1	Maas	Maas	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	2	AL	AL	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	715	4	Daly	Daly	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	5	RE	RE	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	715	7	Pham	Pham	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	8	PT	PT	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	715	10	Huang	Huang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	11	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	715	13	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	14	AY	AY	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	715	16	Potts	Potts	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	17	C.	C.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	715	18	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	715	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	716	1	Learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	716	2	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	716	3	vectors	vector	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	716	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	716	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	716	6	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	716	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	717	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	717	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	717	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	717	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	717	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	717	6	49th	49th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	717	7	Annual	Annual	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	717	8	Meeting	Meeting	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	717	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	717	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	717	11	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	717	12	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	717	13	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	717	14	Linguistics	Linguistics	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	717	15	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	717	16	Human	Human	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	717	17	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	717	18	Technologies	Technologies	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	717	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	718	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	718	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	718	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	718	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	718	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	718	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	718	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	718	8	Vol	Vol	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	718	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	719	1	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	719	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	719	3	142–150	142–150	CD
work_fljh2g733fa2fnxmkvwa4p3kby	719	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	720	1	Macmillan	Macmillan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	720	2	NA	NA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	720	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	720	4	Creelman	Creelman	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	720	5	CD	CD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	720	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	721	1	2004	2004	CD
work_fljh2g733fa2fnxmkvwa4p3kby	721	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	722	1	Detection	detection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	722	2	theory	theory	NN
work_fljh2g733fa2fnxmkvwa4p3kby	722	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	722	4	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	722	5	user	user	NN
work_fljh2g733fa2fnxmkvwa4p3kby	722	6	’s	’s	POS
work_fljh2g733fa2fnxmkvwa4p3kby	722	7	guide	guide	NN
work_fljh2g733fa2fnxmkvwa4p3kby	722	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	723	1	Hove	hove	NN
work_fljh2g733fa2fnxmkvwa4p3kby	723	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	723	3	Psychology	Psychology	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	723	4	Press	Press	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	723	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	724	1	Mcauliffe	Mcauliffe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	724	2	JD	JD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	724	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	724	4	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	724	5	DM	DM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	724	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	725	1	2008	2008	CD
work_fljh2g733fa2fnxmkvwa4p3kby	725	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	726	1	Supervised	supervise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	726	2	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	726	3	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	726	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	727	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	727	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	727	3	Advances	advance	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	727	4	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	727	5	Neural	Neural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	727	6	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	727	7	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	727	8	Systems	Systems	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	727	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	728	1	121–128	121–128	CD
work_fljh2g733fa2fnxmkvwa4p3kby	728	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	729	1	Mei	Mei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	2	Q	Q	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	729	4	Ling	Ling	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	5	X	X	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	729	7	Wondra	Wondra	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	8	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	729	10	Su	Su	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	11	H	H	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	729	13	Zhai	Zhai	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	14	C.	C.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	729	15	2007	2007	CD
work_fljh2g733fa2fnxmkvwa4p3kby	729	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	730	1	Topic	topic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	730	2	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	730	3	mixture	mixture	NN
work_fljh2g733fa2fnxmkvwa4p3kby	730	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	730	5	modeling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	730	6	facets	facet	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	730	7	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	730	8	opinions	opinion	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	730	9	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	730	10	weblogs	weblog	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	730	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	731	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	731	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	731	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	731	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	731	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	731	6	16th	16th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	731	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	731	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	731	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	731	10	World	World	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	731	11	Wide	Wide	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	731	12	Web	Web	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	731	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	732	1	New	New	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	732	2	York	York	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	732	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	732	4	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	732	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	732	6	171–180	171–180	CD
work_fljh2g733fa2fnxmkvwa4p3kby	732	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	733	1	Mirowski	Mirowski	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	733	2	P	P	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	733	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	733	4	Ranzato	Ranzato	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	733	5	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	733	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	733	7	LeCun	LeCun	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	733	8	Y.	Y.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	734	1	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	734	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	735	1	Dynamic	dynamic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	735	2	auto	auto	NN
work_fljh2g733fa2fnxmkvwa4p3kby	735	3	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	735	4	encoders	encoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	735	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	735	6	semantic	semantic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	735	7	indexing	indexing	NN
work_fljh2g733fa2fnxmkvwa4p3kby	735	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	736	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	736	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	736	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	736	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	736	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	736	6	NIPS	NIPS	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	736	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	736	8	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	736	9	Workshop	Workshop	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	736	10	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	736	11	Deep	Deep	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	736	12	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	736	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	736	14	1–9	1–9	CD
work_fljh2g733fa2fnxmkvwa4p3kby	736	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	737	1	Mohammad	Mohammad	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	737	2	SM	SM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	737	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	737	4	Turney	Turney	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	737	5	PD	PD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	737	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	738	1	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	738	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	739	1	Crowdsourcing	crowdsource	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	739	2	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	739	3	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	739	4	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	739	5	emotion	emotion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	739	6	association	association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	739	7	lexicon	lexicon	NN
work_fljh2g733fa2fnxmkvwa4p3kby	739	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	740	1	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	740	2	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	740	3	29(3):436–465	29(3):436–465	CD
work_fljh2g733fa2fnxmkvwa4p3kby	740	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	740	5	10.1111	10.1111	CD
work_fljh2g733fa2fnxmkvwa4p3kby	740	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	740	7	j.1467	j.1467	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	740	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	740	9	8640.2012.00460.x	8640.2012.00460.x	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	740	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	741	1	Neri	Neri	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	741	2	P.	P.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	741	3	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	741	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	742	1	How	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	742	2	inherently	inherently	RB
work_fljh2g733fa2fnxmkvwa4p3kby	742	3	noisy	noisy	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	742	4	is	be	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	742	5	human	human	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	742	6	sensory	sensory	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	742	7	processing	processing	NN
work_fljh2g733fa2fnxmkvwa4p3kby	742	8	?	?	.
work_fljh2g733fa2fnxmkvwa4p3kby	743	1	Psychonomic	Psychonomic	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	743	2	Bulletin	Bulletin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	743	3	&	&	CC
work_fljh2g733fa2fnxmkvwa4p3kby	743	4	Review	Review	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	743	5	17(6):802–808	17(6):802–808	CD
work_fljh2g733fa2fnxmkvwa4p3kby	743	6	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	743	7	10.3758	10.3758	CD
work_fljh2g733fa2fnxmkvwa4p3kby	743	8	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	743	9	PBR.17.6.802	pbr.17.6.802	NN
work_fljh2g733fa2fnxmkvwa4p3kby	743	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	744	1	Ngiam	Ngiam	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	744	2	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	744	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	744	4	Chen	Chen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	744	5	Z	Z	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	744	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	744	7	Koh	Koh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	744	8	PW	PW	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	744	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	744	10	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	744	11	AY	ay	NN
work_fljh2g733fa2fnxmkvwa4p3kby	744	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	745	1	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	745	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	746	1	Learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	746	2	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	746	3	energy	energy	NN
work_fljh2g733fa2fnxmkvwa4p3kby	746	4	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	746	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	747	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	747	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	747	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	747	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	747	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	747	6	28th	28th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	747	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	747	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	747	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	747	10	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	747	11	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	747	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	747	13	ICML-11	icml-11	NN
work_fljh2g733fa2fnxmkvwa4p3kby	747	14	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	747	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	748	1	Madison	Madison	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	748	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	748	3	Omnipress	Omnipress	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	748	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	748	5	1105–1112	1105–1112	CD
work_fljh2g733fa2fnxmkvwa4p3kby	748	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	749	1	Nguyen	Nguyen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	749	2	DQ	DQ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	749	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	749	4	Nguyen	Nguyen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	749	5	DQ	DQ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	749	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	749	7	Vu	Vu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	749	8	T	T	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	749	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	749	10	Pham	Pham	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	749	11	SB	SB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	749	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	750	1	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	750	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	751	1	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	751	2	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	751	3	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	751	4	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	751	5	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	751	6	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	751	7	an	an	DT
work_fljh2g733fa2fnxmkvwa4p3kby	751	8	empirical	empirical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	751	9	study	study	NN
work_fljh2g733fa2fnxmkvwa4p3kby	751	10	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	751	11	rating	rating	NN
work_fljh2g733fa2fnxmkvwa4p3kby	751	12	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	751	13	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	751	14	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	751	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	752	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	752	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	752	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	752	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	752	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	752	6	5th	5th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	752	7	Workshop	Workshop	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	752	8	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	752	9	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	752	10	Approaches	approach	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	752	11	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	752	12	Subjectivity	Subjectivity	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	752	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	752	14	Sentiment	Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	752	15	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	752	16	Social	Social	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	752	17	Media	Media	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	752	18	Analysis	Analysis	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	752	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	753	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	753	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	753	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	753	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	753	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	753	6	Linguistics	Linguistics	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	753	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	753	8	128–135	128–135	CD
work_fljh2g733fa2fnxmkvwa4p3kby	753	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	754	1	Nielsen	Nielsen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	754	2	FÅ	FÅ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	754	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	755	1	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	755	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	756	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	756	2	new	new	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	756	3	anew	anew	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	756	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	756	5	evaluation	evaluation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	756	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	756	7	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	756	8	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	756	9	list	list	NN
work_fljh2g733fa2fnxmkvwa4p3kby	756	10	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	756	11	sentiment	sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	756	12	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	756	13	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	756	14	microblogs	microblog	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	756	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	757	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	757	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	757	3	http://arxiv.org/abs/1103.2903	http://arxiv.org/abs/1103.2903	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	757	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	758	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	758	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	758	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	758	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	758	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	759	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	759	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	759	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	759	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	759	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	759	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	759	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	760	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	760	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	760	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	760	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	760	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	10	30/32	30/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	760	11	http://dx.doi.org/10.1162/089976600300015691	http://dx.doi.org/10.1162/089976600300015691	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	760	12	http://arxiv.org/abs/1404.2188	http://arxiv.org/abs/1404.2188	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	13	http://dx.doi.org/10.1111/j.1467-8640.2006.00277.x	http://dx.doi.org/10.1111/j.1467-8640.2006.00277.x	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	14	http://dx.doi.org/10.2200/S00416ED1V01Y201204HLT016	http://dx.doi.org/10.2200/S00416ED1V01Y201204HLT016	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	15	http://dx.doi.org/10.1111/j.1467-8640.2012.00460.x	http://dx.doi.org/10.1111/j.1467-8640.2012.00460.x	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	16	http://dx.doi.org/10.3758/PBR.17.6.802	http://dx.doi.org/10.3758/pbr.17.6.802	NN
work_fljh2g733fa2fnxmkvwa4p3kby	760	17	http://arxiv.org/abs/1103.2903	http://arxiv.org/abs/1103.2903	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	18	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	760	19	https://peerj.com/computer-science/	https://peerj.com/computer-science/	:
work_fljh2g733fa2fnxmkvwa4p3kby	760	20	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	21	B	B	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	760	23	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	24	L.	L.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	760	25	2004	2004	CD
work_fljh2g733fa2fnxmkvwa4p3kby	760	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	761	1	A	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	761	2	sentimental	sentimental	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	761	3	education	education	NN
work_fljh2g733fa2fnxmkvwa4p3kby	761	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	761	5	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	761	6	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	761	7	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	761	8	subjectivity	subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	761	9	summarization	summarization	NN
work_fljh2g733fa2fnxmkvwa4p3kby	761	10	based	base	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	761	11	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	761	12	minimum	minimum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	761	13	cuts	cut	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	761	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	762	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	762	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	762	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	762	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	762	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	762	6	42nd	42nd	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	762	7	Annual	Annual	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	762	8	Meeting	Meeting	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	762	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	762	10	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	762	11	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	762	12	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	762	13	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	762	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	763	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	763	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	763	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	763	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	763	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	763	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	763	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	764	1	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	764	2	B	B	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	764	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	764	4	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	764	5	L.	L.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	764	6	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	764	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	765	1	Seeing	see	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	765	2	stars	star	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	765	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	765	4	Exploiting	exploit	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	765	5	class	class	NN
work_fljh2g733fa2fnxmkvwa4p3kby	765	6	relationships	relationship	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	765	7	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	765	8	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	765	9	categorization	categorization	NN
work_fljh2g733fa2fnxmkvwa4p3kby	765	10	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	765	11	respect	respect	NN
work_fljh2g733fa2fnxmkvwa4p3kby	765	12	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	765	13	rating	rating	NN
work_fljh2g733fa2fnxmkvwa4p3kby	765	14	scales	scale	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	765	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	766	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	766	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	766	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	766	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	766	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	766	6	43rd	43rd	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	766	7	annual	annual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	766	8	meeting	meeting	NN
work_fljh2g733fa2fnxmkvwa4p3kby	766	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	766	10	association	association	NN
work_fljh2g733fa2fnxmkvwa4p3kby	766	11	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	766	12	computational	computational	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	766	13	linguistics	linguistic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	766	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	767	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	767	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	767	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	767	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	767	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	767	6	Linguistics	Linguistics	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	767	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	767	8	115–124	115–124	CD
work_fljh2g733fa2fnxmkvwa4p3kby	767	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	768	1	Pang	Pang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	768	2	B	B	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	768	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	768	4	Lee	Lee	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	768	5	L	L	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	768	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	768	7	Vaithyanathan	Vaithyanathan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	768	8	S.	S.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	768	9	2002	2002	CD
work_fljh2g733fa2fnxmkvwa4p3kby	768	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	769	1	Thumbs	thumb	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	769	2	up	up	RP
work_fljh2g733fa2fnxmkvwa4p3kby	769	3	?	?	.
work_fljh2g733fa2fnxmkvwa4p3kby	770	1	sentiment	sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	770	2	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	770	3	using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	770	4	machine	machine	NN
work_fljh2g733fa2fnxmkvwa4p3kby	770	5	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	770	6	techniques	technique	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	770	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	771	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	771	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	771	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	771	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	771	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	771	6	ACL-02	acl-02	NN
work_fljh2g733fa2fnxmkvwa4p3kby	771	7	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	771	8	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	771	9	Empirical	Empirical	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	771	10	Methods	Methods	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	771	11	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	771	12	Natural	Natural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	771	13	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	771	14	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	771	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	772	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	772	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	772	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	772	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	772	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	772	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	772	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	772	8	Vol	Vol	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	772	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	773	1	10	10	CD
work_fljh2g733fa2fnxmkvwa4p3kby	773	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	773	3	79–86	79–86	CD
work_fljh2g733fa2fnxmkvwa4p3kby	773	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	774	1	Perotte	Perotte	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	774	2	AJ	AJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	774	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	774	4	Wood	Wood	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	774	5	F	F	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	774	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	774	7	Elhadad	Elhadad	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	774	8	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	774	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	774	10	Bartlett	Bartlett	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	774	11	N.	N.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	774	12	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	774	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	775	1	Hierarchically	hierarchically	RB
work_fljh2g733fa2fnxmkvwa4p3kby	775	2	supervised	supervise	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	775	3	latent	latent	NN
work_fljh2g733fa2fnxmkvwa4p3kby	775	4	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	775	5	allocation	allocation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	775	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	776	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	776	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	776	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	776	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	776	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	776	6	24th	24th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	776	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	776	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	776	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	776	10	Neural	Neural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	776	11	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	776	12	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	776	13	Systems	Systems	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	776	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	776	15	2609–2617	2609–2617	CD
work_fljh2g733fa2fnxmkvwa4p3kby	776	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	777	1	Pollack	Pollack	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	777	2	JB	JB	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	777	3	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	778	1	1990	1990	CD
work_fljh2g733fa2fnxmkvwa4p3kby	778	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	779	1	Recursive	recursive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	779	2	distributed	distribute	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	779	3	representations	representation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	779	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	780	1	Artificial	Artificial	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	2	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	3	46(1):77–105	46(1):77–105	CD
work_fljh2g733fa2fnxmkvwa4p3kby	780	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	5	10.1016/0004	10.1016/0004	CD
work_fljh2g733fa2fnxmkvwa4p3kby	780	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	780	7	3702(90)90005-K.	3702(90)90005-k.	CD
work_fljh2g733fa2fnxmkvwa4p3kby	780	8	Porteous	Porteous	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	9	I	I	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	780	11	Newman	Newman	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	12	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	13	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	780	14	Ihler	Ihler	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	15	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	16	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	780	17	Asuncion	Asuncion	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	18	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	19	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	780	20	Smyth	Smyth	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	21	P	P	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	22	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	780	23	Welling	Welling	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	24	M.	M.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	780	25	2008	2008	CD
work_fljh2g733fa2fnxmkvwa4p3kby	780	26	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	781	1	Fast	fast	RB
work_fljh2g733fa2fnxmkvwa4p3kby	781	2	collapsed	collapse	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	781	3	Gibbs	gibb	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	781	4	sampling	sample	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	781	5	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	781	6	latent	latent	NN
work_fljh2g733fa2fnxmkvwa4p3kby	781	7	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	781	8	allocation	allocation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	781	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	782	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	782	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	782	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	782	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	782	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	782	6	14th	14th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	782	7	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	782	8	SIGKDD	SIGKDD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	782	9	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	782	10	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	782	11	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	782	12	Knowledge	Knowledge	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	782	13	Discovery	Discovery	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	782	14	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	782	15	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	782	16	Mining	Mining	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	782	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	783	1	New	New	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	783	2	York	York	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	783	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	783	4	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	783	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	783	6	569–577	569–577	CD
work_fljh2g733fa2fnxmkvwa4p3kby	783	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	784	1	Pouransari	Pouransari	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	784	2	H	H	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	784	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	784	4	Ghili	Ghili	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	784	5	S.	S.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	784	6	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	784	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	785	1	Deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	785	2	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	785	3	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	785	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	785	5	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	785	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	785	7	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	785	8	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	785	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	786	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	786	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	786	3	https://cs224d.stanford.edu/reports/PouransariHadi.pdf	https://cs224d.stanford.edu/reports/pouransarihadi.pdf	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	786	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	787	1	Riloff	Riloff	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	787	2	E	E	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	787	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	787	4	Wiebe	Wiebe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	787	5	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	787	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	787	7	Phillips	Phillips	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	787	8	W.	W.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	787	9	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	787	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	788	1	Exploiting	exploit	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	788	2	subjectivity	subjectivity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	788	3	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	788	4	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	788	5	improve	improve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	788	6	information	information	NN
work_fljh2g733fa2fnxmkvwa4p3kby	788	7	extraction	extraction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	788	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	789	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	789	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	789	3	Proceedings	Proceedings	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	789	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	789	5	AAAI-05	aaai-05	NN
work_fljh2g733fa2fnxmkvwa4p3kby	789	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	789	7	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	789	8	20th	20th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	789	9	National	National	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	789	10	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	789	11	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	789	12	Artificial	Artificial	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	789	13	Intelligence	Intelligence	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	789	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	790	1	Menlo	Menlo	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	790	2	Park	Park	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	790	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	790	4	AAAI	AAAI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	790	5	Press	Press	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	790	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	790	7	Vol	Vol	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	790	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	791	1	20	20	CD
work_fljh2g733fa2fnxmkvwa4p3kby	791	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	791	3	1106	1106	CD
work_fljh2g733fa2fnxmkvwa4p3kby	791	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	792	1	Saif	Saif	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	792	2	H	H	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	792	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	792	4	Fernandez	Fernandez	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	792	5	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	792	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	792	7	He	He	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	792	8	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	792	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	792	10	Alani	Alani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	792	11	H.	H.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	792	12	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	792	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	793	1	Evaluation	evaluation	NN
work_fljh2g733fa2fnxmkvwa4p3kby	793	2	datasets	dataset	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	793	3	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	793	4	Twitter	Twitter	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	793	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	793	6	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	793	7	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	793	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	793	9	survey	survey	NN
work_fljh2g733fa2fnxmkvwa4p3kby	793	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	793	11	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	793	12	new	new	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	793	13	dataset	dataset	NN
work_fljh2g733fa2fnxmkvwa4p3kby	793	14	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	793	15	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	793	16	sts	sts	NN
work_fljh2g733fa2fnxmkvwa4p3kby	793	17	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	793	18	gold	gold	NN
work_fljh2g733fa2fnxmkvwa4p3kby	793	19	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	794	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	794	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	794	3	1st	1st	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	794	4	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	794	5	Workshop	Workshop	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	794	6	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	794	7	Emotion	Emotion	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	794	8	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	794	9	Sentiment	Sentiment	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	794	10	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	794	11	Social	Social	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	794	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	794	13	Expressive	Expressive	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	794	14	Media	Media	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	794	15	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	794	16	Approaches	approach	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	794	17	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	794	18	Perspectives	Perspectives	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	794	19	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	794	20	AI	AI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	794	21	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	794	22	ESSEM	essem	RB
work_fljh2g733fa2fnxmkvwa4p3kby	794	23	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	794	24	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	794	25	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	795	1	Turin	Turin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	795	2	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	795	3	Italy	Italy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	795	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	796	1	Shirani	Shirani	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	796	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	796	3	Mehr	Mehr	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	796	4	H.	H.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	796	5	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	796	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	797	1	Applications	application	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	797	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	797	3	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	797	4	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	797	5	to	to	IN
work_fljh2g733fa2fnxmkvwa4p3kby	797	6	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	797	7	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	797	8	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	797	9	movie	movie	NN
work_fljh2g733fa2fnxmkvwa4p3kby	797	10	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	797	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	798	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	798	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	798	3	https://cs224d.stanford.edu/reports/Shirani-MehrH.pdf	https://cs224d.stanford.edu/reports/Shirani-MehrH.pdf	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	798	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	799	1	Smith	Smith	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	799	2	G.	G.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	799	3	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	799	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	800	1	250	250	CD
work_fljh2g733fa2fnxmkvwa4p3kby	800	2	amazing	amazing	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	800	3	facebook	facebook	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	800	4	statistics	statistic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	800	5	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	800	6	facts	fact	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	800	7	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	800	8	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	800	9	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	800	10	by	by	IN
work_fljh2g733fa2fnxmkvwa4p3kby	800	11	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	800	12	numbers	number	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	800	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	801	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	801	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	801	3	http://expandedramblings.com/index.php/by-the-numbers-17-amazing-facebook-stats	http://expandedramblings.com/index.php/by-the-numbers-17-amazing-facebook-stat	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	801	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	802	1	Socher	Socher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	2	R	R	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	802	4	Pennington	Pennington	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	5	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	802	7	Huang	Huang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	8	EH	EH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	802	10	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	11	AY	AY	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	802	13	Manning	man	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	802	14	CD	CD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	802	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	803	1	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	803	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	804	1	Semi	semi	RB
work_fljh2g733fa2fnxmkvwa4p3kby	804	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	804	3	supervised	supervised	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	804	4	recursive	recursive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	804	5	autoencoders	autoencoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	804	6	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	804	7	predicting	predict	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	804	8	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	804	9	distributions	distribution	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	804	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	805	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	805	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	805	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	805	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	805	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	805	6	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	805	7	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	805	8	Empirical	Empirical	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	805	9	Methods	Methods	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	805	10	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	805	11	Natural	Natural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	805	12	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	805	13	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	805	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	806	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	806	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	806	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	806	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	806	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	806	6	Linguistics	Linguistics	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	806	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	806	8	151–161	151–161	CD
work_fljh2g733fa2fnxmkvwa4p3kby	806	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	807	1	Socher	Socher	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	2	R	R	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	807	4	Perelygin	Perelygin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	5	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	807	7	Wu	Wu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	8	JY	JY	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	807	10	Chuang	Chuang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	11	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	807	13	Manning	man	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	807	14	CD	CD	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	807	16	Ng	Ng	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	17	AY	AY	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	18	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	807	19	Potts	Potts	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	20	C.	C.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	807	21	2013	2013	CD
work_fljh2g733fa2fnxmkvwa4p3kby	807	22	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	808	1	Recursive	recursive	VB
work_fljh2g733fa2fnxmkvwa4p3kby	808	2	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	808	3	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	808	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	808	5	semantic	semantic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	808	6	compositionality	compositionality	NN
work_fljh2g733fa2fnxmkvwa4p3kby	808	7	over	over	IN
work_fljh2g733fa2fnxmkvwa4p3kby	808	8	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	808	9	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	808	10	treebank	treebank	NN
work_fljh2g733fa2fnxmkvwa4p3kby	808	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	809	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	809	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	809	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	809	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	809	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	809	6	conference	conference	NN
work_fljh2g733fa2fnxmkvwa4p3kby	809	7	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	809	8	empirical	empirical	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	809	9	methods	method	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	809	10	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	809	11	natural	natural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	809	12	language	language	NN
work_fljh2g733fa2fnxmkvwa4p3kby	809	13	processing	processing	NN
work_fljh2g733fa2fnxmkvwa4p3kby	809	14	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	809	15	EMNLP	EMNLP	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	809	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	809	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	810	1	Seattle	Seattle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	810	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	810	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	810	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	810	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	810	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	810	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	810	8	1631–1642	1631–1642	CD
work_fljh2g733fa2fnxmkvwa4p3kby	810	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	811	1	Spacy	Spacy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	811	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	812	1	2019	2019	CD
work_fljh2g733fa2fnxmkvwa4p3kby	812	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	813	1	Spacy	spacy	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	813	2	large	large	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	813	3	core	core	NN
work_fljh2g733fa2fnxmkvwa4p3kby	813	4	English	english	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	813	5	model	model	NN
work_fljh2g733fa2fnxmkvwa4p3kby	813	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	814	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	814	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	814	3	https://spacy.io/usage/models	https://spacy.io/usage/model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	814	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	815	1	Tang	Tang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	2	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	815	4	Wei	Wei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	5	F	F	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	815	7	Qin	Qin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	8	B	B	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	815	10	Liu	Liu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	11	T	T	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	815	13	Zhou	Zhou	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	14	M.	M.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	815	15	2014a	2014a	CD
work_fljh2g733fa2fnxmkvwa4p3kby	815	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	816	1	Coooolll	Coooolll	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	816	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	816	3	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	816	4	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	816	5	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	816	6	system	system	NN
work_fljh2g733fa2fnxmkvwa4p3kby	816	7	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	816	8	Twitter	Twitter	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	816	9	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	816	10	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	816	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	817	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	817	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	817	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	817	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	817	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	817	6	8th	8th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	817	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	817	8	Workshop	Workshop	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	817	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	817	10	Semantic	Semantic	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	817	11	Evaluation	Evaluation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	817	12	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	817	13	SemEval	SemEval	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	817	14	2014	2014	CD
work_fljh2g733fa2fnxmkvwa4p3kby	817	15	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	817	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	818	1	Dublin	Dublin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	818	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	818	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	818	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	818	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	818	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	818	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	818	8	208–212	208–212	CD
work_fljh2g733fa2fnxmkvwa4p3kby	818	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	819	1	Tang	Tang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	2	D	D	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	819	4	Wei	Wei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	5	F	F	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	819	7	Yang	Yang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	8	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	819	10	Zhou	Zhou	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	11	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	819	13	Liu	Liu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	14	T	T	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	15	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	819	16	Qin	Qin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	819	17	B.	B.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	820	1	2014b	2014b	CD
work_fljh2g733fa2fnxmkvwa4p3kby	820	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	821	1	Learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	821	2	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	821	3	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	821	4	specific	specific	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	821	5	word	word	NN
work_fljh2g733fa2fnxmkvwa4p3kby	821	6	embedding	embed	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	821	7	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	821	8	Twitter	Twitter	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	821	9	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	821	10	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	821	11	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	822	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	822	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	822	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	822	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	822	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	822	6	52nd	52nd	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	822	7	Annual	Annual	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	822	8	Meeting	Meeting	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	822	9	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	822	10	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	822	11	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	822	12	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	822	13	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	822	14	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	822	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	823	1	Baltimore	Baltimore	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	823	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	823	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	823	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	823	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	823	6	Linguistics	Linguistics	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	823	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	823	8	1555–1565	1555–1565	CD
work_fljh2g733fa2fnxmkvwa4p3kby	823	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	824	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	824	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	824	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	824	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	824	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	825	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	825	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	825	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	825	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	825	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	825	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	825	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	826	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	826	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	826	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	826	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	826	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	10	31/32	31/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	826	11	http://dx.doi.org/10.1016/0004-3702(90)90005-K	http://dx.doi.org/10.1016/0004-3702(90)90005-K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	12	https://cs224d.stanford.edu/reports/PouransariHadi.pdf	https://cs224d.stanford.edu/reports/PouransariHadi.pdf	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	13	https://cs224d.stanford.edu/reports/Shirani-MehrH.pdf	https://cs224d.stanford.edu/reports/Shirani-MehrH.pdf	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	14	http://expandedramblings.com/index.php/by-the-numbers-17-amazing-facebook-stats	http://expandedramblings.com/index.php/by-the-numbers-17-amazing-facebook-stats	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	15	https://spacy.io/usage/models	https://spacy.io/usage/model	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	826	16	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	826	17	https://peerj.com/computer-science/	https://peerj.com/computer-science/	.
work_fljh2g733fa2fnxmkvwa4p3kby	826	18	Teh	Teh	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	19	YW	YW	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	20	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	826	21	Jordan	Jordan	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	22	MI	MI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	23	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	826	24	Beal	Beal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	25	MJ	MJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	26	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	826	27	Blei	Blei	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	28	DM	DM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	826	29	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	827	1	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	827	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	828	1	Sharing	share	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	828	2	clusters	cluster	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	828	3	among	among	IN
work_fljh2g733fa2fnxmkvwa4p3kby	828	4	related	related	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	828	5	groups	group	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	828	6	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	828	7	Hierarchical	Hierarchical	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	828	8	Dirichlet	Dirichlet	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	828	9	processes	process	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	828	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	829	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	829	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	829	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	829	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	829	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	829	6	17th	17th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	829	7	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	829	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	829	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	829	10	Neural	Neural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	829	11	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	829	12	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	829	13	Systems	Systems	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	829	14	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	830	1	1385–1392	1385–1392	LS
work_fljh2g733fa2fnxmkvwa4p3kby	830	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	831	1	Thelwall	Thelwall	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	831	2	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	831	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	831	4	Buckley	Buckley	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	831	5	K	K	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	831	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	831	7	Paltoglou	Paltoglou	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	831	8	G.	G.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	831	9	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	831	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	832	1	Sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	832	2	strength	strength	NN
work_fljh2g733fa2fnxmkvwa4p3kby	832	3	detection	detection	NN
work_fljh2g733fa2fnxmkvwa4p3kby	832	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	832	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	832	6	social	social	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	832	7	web	web	NN
work_fljh2g733fa2fnxmkvwa4p3kby	832	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	833	1	Journal	Journal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	833	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	833	3	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	833	4	American	American	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	833	5	Society	Society	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	833	6	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	833	7	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	833	8	Science	Science	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	833	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	833	10	Technology	Technology	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	833	11	63(1):163–173	63(1):163–173	CD
work_fljh2g733fa2fnxmkvwa4p3kby	833	12	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	833	13	10.1002	10.1002	CD
work_fljh2g733fa2fnxmkvwa4p3kby	833	14	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	833	15	asi.21662	asi.21662	CD
work_fljh2g733fa2fnxmkvwa4p3kby	833	16	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	834	1	UMICH	UMICH	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	834	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	835	1	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	835	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	836	1	Umich	Umich	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	836	2	si650—sentiment	si650—sentiment	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	836	3	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	836	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	837	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	837	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	837	3	https://www.kaggle.com/c/si650winter11	https://www.kaggle.com/c/si650winter11	NN
work_fljh2g733fa2fnxmkvwa4p3kby	837	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	838	1	Vincent	Vincent	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	2	P	P	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	838	4	Larochelle	Larochelle	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	5	H	H	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	838	7	Lajoie	Lajoie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	8	I	I	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	838	10	Bengio	Bengio	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	11	Y	Y	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	12	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	838	13	Manzagol	Manzagol	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	14	P	P	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	838	15	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	838	16	A.	a.	NN
work_fljh2g733fa2fnxmkvwa4p3kby	839	1	2010	2010	CD
work_fljh2g733fa2fnxmkvwa4p3kby	839	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	840	1	Stacked	stack	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	840	2	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	840	3	autoencoders	autoencoder	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	840	4	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	840	5	learning	learn	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	840	6	useful	useful	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	840	7	representations	representation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	840	8	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	840	9	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	840	10	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	840	11	network	network	NN
work_fljh2g733fa2fnxmkvwa4p3kby	840	12	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	840	13	a	a	DT
work_fljh2g733fa2fnxmkvwa4p3kby	840	14	local	local	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	840	15	denoising	denoise	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	840	16	criterion	criterion	NN
work_fljh2g733fa2fnxmkvwa4p3kby	840	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	841	1	Journal	Journal	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	841	2	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	841	3	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	841	4	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	841	5	Research	Research	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	841	6	11:3371–3408	11:3371–3408	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	841	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	842	1	Voegtlin	Voegtlin	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	842	2	T	T	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	842	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	842	4	Dominey	Dominey	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	842	5	PF	PF	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	842	6	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	843	1	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	843	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	844	1	Linear	linear	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	844	2	recursive	recursive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	844	3	distributed	distribute	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	844	4	representations	representation	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	844	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	845	1	Neural	Neural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	845	2	Networks	Networks	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	845	3	18(7):878–895	18(7):878–895	CD
work_fljh2g733fa2fnxmkvwa4p3kby	845	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	845	5	10.1016	10.1016	CD
work_fljh2g733fa2fnxmkvwa4p3kby	845	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	845	7	j.neunet.2005.01.005	j.neunet.2005.01.005	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	845	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	846	1	Whitelaw	Whitelaw	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	846	2	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	846	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	846	4	Garg	Garg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	846	5	N	N	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	846	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	846	7	Argamon	Argamon	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	846	8	S.	S.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	846	9	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	846	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	847	1	Using	use	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	847	2	appraisal	appraisal	NN
work_fljh2g733fa2fnxmkvwa4p3kby	847	3	groups	group	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	847	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	847	5	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	847	6	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	847	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	848	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	848	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	848	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	848	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	848	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	848	6	14th	14th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	848	7	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	848	8	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	848	9	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	848	10	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	848	11	Information	Information	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	848	12	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	848	13	Knowledge	Knowledge	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	848	14	Management	Management	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	848	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	849	1	New	New	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	849	2	York	York	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	849	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	849	4	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	849	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	849	6	625–631	625–631	CD
work_fljh2g733fa2fnxmkvwa4p3kby	849	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	850	1	Wilson	Wilson	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	850	2	T	T	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	850	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	850	4	Wiebe	Wiebe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	850	5	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	850	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	850	7	Hoffmann	Hoffmann	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	850	8	P.	P.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	850	9	2005	2005	CD
work_fljh2g733fa2fnxmkvwa4p3kby	850	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	851	1	Recognizing	recognize	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	851	2	contextual	contextual	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	851	3	polarity	polarity	NN
work_fljh2g733fa2fnxmkvwa4p3kby	851	4	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	851	5	phrase	phrase	NN
work_fljh2g733fa2fnxmkvwa4p3kby	851	6	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	851	7	level	level	NN
work_fljh2g733fa2fnxmkvwa4p3kby	851	8	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	851	9	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	851	10	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	852	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	852	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	852	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	852	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	852	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	852	6	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	852	7	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	852	8	Human	Human	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	852	9	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	852	10	Technology	Technology	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	852	11	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	852	12	Empirical	Empirical	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	852	13	Methods	Methods	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	852	14	in	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	852	15	Natural	Natural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	852	16	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	852	17	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	852	18	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	853	1	Stroudsburg	Stroudsburg	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	853	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	853	3	Association	Association	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	853	4	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	853	5	Computational	Computational	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	853	6	Linguistics	Linguistics	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	853	7	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	853	8	347–354	347–354	CD
work_fljh2g733fa2fnxmkvwa4p3kby	853	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	854	1	Wu	Wu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	854	2	JY	JY	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	854	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	854	4	Pao	Pao	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	854	5	Y.	Y.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	855	1	2012	2012	CD
work_fljh2g733fa2fnxmkvwa4p3kby	855	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	856	1	Predicting	predict	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	856	2	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	856	3	from	from	IN
work_fljh2g733fa2fnxmkvwa4p3kby	856	4	Rotten	Rotten	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	856	5	Tomatoes	Tomatoes	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	856	6	Movie	Movie	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	856	7	reviews	review	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	856	8	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	857	1	Available	available	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	857	2	at	at	IN
work_fljh2g733fa2fnxmkvwa4p3kby	857	3	https://nlp.stanford.edu/courses/cs224n/2012/reports/WuJean_PaoYuanyuan_224nReport.pdf	https://nlp.stanford.edu/courses/cs224n/2012/reports/wujean_paoyuanyuan_224nreport.pdf	CD
work_fljh2g733fa2fnxmkvwa4p3kby	857	4	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	858	1	Zhu	Zhu	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	858	2	J	J	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	858	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	858	4	Ahmed	Ahmed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	858	5	A	A	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	858	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	858	7	Xing	Xing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	858	8	EP	EP	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	858	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	859	1	2009	2009	CD
work_fljh2g733fa2fnxmkvwa4p3kby	859	2	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	860	1	MedLDA	MedLDA	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	860	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	860	3	maximum	maximum	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	860	4	margin	margin	NN
work_fljh2g733fa2fnxmkvwa4p3kby	860	5	supervised	supervise	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	860	6	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	860	7	models	model	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	860	8	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	860	9	regression	regression	NN
work_fljh2g733fa2fnxmkvwa4p3kby	860	10	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	860	11	classification	classification	NN
work_fljh2g733fa2fnxmkvwa4p3kby	860	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	861	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	861	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	861	3	Proceedings	proceeding	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	861	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	861	5	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	861	6	26th	26th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	861	7	Annual	Annual	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	861	8	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	861	9	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	861	10	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	861	11	Machine	Machine	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	861	12	Learning	Learning	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	861	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	862	1	New	New	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	862	2	York	York	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	862	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	862	4	ACM	ACM	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	862	5	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	862	6	1257–1264	1257–1264	CD
work_fljh2g733fa2fnxmkvwa4p3kby	862	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	863	1	Zirn	Zirn	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	863	2	C	C	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	863	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	863	4	Niepert	Niepert	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	863	5	M	M	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	863	6	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	863	7	Stuckenschmidt	Stuckenschmidt	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	863	8	H	H	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	863	9	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	863	10	Strube	Strube	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	863	11	M.	M.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	863	12	2011	2011	CD
work_fljh2g733fa2fnxmkvwa4p3kby	863	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	864	1	Fine	fine	RB
work_fljh2g733fa2fnxmkvwa4p3kby	864	2	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	864	3	grained	grain	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	864	4	sentiment	sentiment	NN
work_fljh2g733fa2fnxmkvwa4p3kby	864	5	analysis	analysis	NN
work_fljh2g733fa2fnxmkvwa4p3kby	864	6	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	864	7	structural	structural	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	864	8	features	feature	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	864	9	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	865	1	In	in	IN
work_fljh2g733fa2fnxmkvwa4p3kby	865	2	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	865	3	Proceedings	Proceedings	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	865	4	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	865	5	5th	5th	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	865	6	International	International	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	865	7	Joint	Joint	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	865	8	Conference	Conference	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	865	9	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	865	10	Natural	Natural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	865	11	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	865	12	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	865	13	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	866	1	Chiang	Chiang	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	866	2	Mai	Mai	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	866	3	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	866	4	Asian	Asian	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	866	5	Federation	Federation	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	866	6	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	866	7	Natural	Natural	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	866	8	Language	Language	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	866	9	Processing	Processing	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	866	10	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	866	11	336–344	336–344	CD
work_fljh2g733fa2fnxmkvwa4p3kby	866	12	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	867	1	Al	Al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	867	2	Moubayed	Moubayed	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	867	3	et	et	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	867	4	al	al	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	867	5	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	868	1	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	868	2	2020	2020	CD
work_fljh2g733fa2fnxmkvwa4p3kby	868	3	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	868	4	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	868	5	PeerJ	PeerJ	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	868	6	Comput	Comput	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	868	7	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	869	1	Sci	Sci	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	2	.	.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	3	,	,	,
work_fljh2g733fa2fnxmkvwa4p3kby	869	4	DOI	DOI	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	5	10.7717	10.7717	CD
work_fljh2g733fa2fnxmkvwa4p3kby	869	6	/	/	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	869	7	peerj	peerj	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	8	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	869	9	cs.252	cs.252	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	10	32/32	32/32	CD
work_fljh2g733fa2fnxmkvwa4p3kby	869	11	http://dx.doi.org/10.1002/asi.21662	http://dx.doi.org/10.1002/asi.21662	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	12	https://www.kaggle.com/c/si650winter11	https://www.kaggle.com/c/si650winter11	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	13	http://dx.doi.org/10.1016/j.neunet.2005.01.005	http://dx.doi.org/10.1016/j.neunet.2005.01.005	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	14	https://nlp.stanford.edu/courses/cs224n/2012/reports/WuJean_PaoYuanyuan_224nReport.pdf	https://nlp.stanford.edu/courses/cs224n/2012/reports/wujean_paoyuanyuan_224nreport.pdf	CD
work_fljh2g733fa2fnxmkvwa4p3kby	869	15	http://dx.doi.org/10.7717/peerj-cs.252	http://dx.doi.org/10.7717/peerj-cs.252	CD
work_fljh2g733fa2fnxmkvwa4p3kby	869	16	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_fljh2g733fa2fnxmkvwa4p3kby	869	17	Beyond	beyond	IN
work_fljh2g733fa2fnxmkvwa4p3kby	869	18	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	869	19	topics	topic	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	869	20	:	:	:
work_fljh2g733fa2fnxmkvwa4p3kby	869	21	how	how	WRB
work_fljh2g733fa2fnxmkvwa4p3kby	869	22	deep	deep	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	869	23	learning	learning	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	24	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	869	25	improve	improve	VB
work_fljh2g733fa2fnxmkvwa4p3kby	869	26	the	the	DT
work_fljh2g733fa2fnxmkvwa4p3kby	869	27	discriminability	discriminability	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	28	of	of	IN
work_fljh2g733fa2fnxmkvwa4p3kby	869	29	probabilistic	probabilistic	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	869	30	topic	topic	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	31	modelling	model	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	869	32	Introduction	introduction	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	33	Related	related	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	869	34	work	work	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	35	Methods	Methods	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	869	36	Data	Data	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	37	sets	set	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	869	38	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	869	39	experiments	experiment	VBZ
work_fljh2g733fa2fnxmkvwa4p3kby	869	40	Results	Results	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	869	41	Discussion	Discussion	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	42	Conclusion	Conclusion	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	43	References	References	NNPS
work_fljh2g733fa2fnxmkvwa4p3kby	869	44	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	869	45	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	869	46	/ASCII85EncodePages	/ASCII85EncodePages	,
work_fljh2g733fa2fnxmkvwa4p3kby	869	47	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	869	48	/AllowTransparency	/allowtransparency	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	49	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	869	50	/AutoPositionEPSFiles	/AutoPositionEPSFiles	.
work_fljh2g733fa2fnxmkvwa4p3kby	869	51	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	869	52	/AutoRotatePages	/AutoRotatePages	.
work_fljh2g733fa2fnxmkvwa4p3kby	869	53	/None	/None	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	869	54	/Binding	/Binding	.
work_fljh2g733fa2fnxmkvwa4p3kby	869	55	/Left	/Left	.
work_fljh2g733fa2fnxmkvwa4p3kby	869	56	/CalGrayProfile	/CalGrayProfile	.
work_fljh2g733fa2fnxmkvwa4p3kby	869	57	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	869	58	Dot	dot	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	59	Gain	Gain	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	60	20	20	CD
work_fljh2g733fa2fnxmkvwa4p3kby	869	61	%	%	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	62	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	869	63	/CalRGBProfile	/CalRGBProfile	.
work_fljh2g733fa2fnxmkvwa4p3kby	869	64	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	869	65	sRGB	srgb	NN
work_fljh2g733fa2fnxmkvwa4p3kby	869	66	IEC61966	IEC61966	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	869	67	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	869	68	2.1	2.1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	869	69	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	869	70	/CalCMYKProfile	/CalCMYKProfile	.
work_fljh2g733fa2fnxmkvwa4p3kby	869	71	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	869	72	U.S.	U.S.	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	1	Web	web	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	2	Coated	Coated	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	3	\050SWOP\051	\050SWOP\051	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	4	v2	v2	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	5	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	6	/sRGBProfile	/sRGBProfile	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	7	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	8	sRGB	srgb	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	9	IEC61966	IEC61966	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	10	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	870	11	2.1	2.1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	12	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	13	/CannotEmbedFontPolicy	/CannotEmbedFontPolicy	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	14	/Warning	/Warning	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	15	/CompatibilityLevel	/compatibilitylevel	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	16	1.4	1.4	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	17	/CompressObjects	/CompressObjects	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	18	/Off	/Off	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	19	/CompressPages	/CompressPages	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	20	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	21	/ConvertImagesToIndexed	/ConvertImagesToIndexed	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	22	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	23	/PassThroughJPEGImages	/PassThroughJPEGImages	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	24	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	25	/CreateJobTicket	/createjobticket	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	26	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	27	/DefaultRenderingIntent	/DefaultRenderingIntent	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	28	/Default	/Default	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	29	/DetectBlends	/DetectBlends	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	30	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	31	/DetectCurves	/DetectCurves	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	32	0.0000	0.0000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	33	/ColorConversionStrategy	/ColorConversionStrategy	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	34	/LeaveColorUnchanged	/LeaveColorUnchanged	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	35	/DoThumbnails	/DoThumbnails	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	36	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	37	/EmbedAllFonts	/embedallfont	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	870	38	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	39	/EmbedOpenType	/EmbedOpenType	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	40	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	41	/ParseICCProfilesInComments	/ParseICCProfilesInComments	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	42	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	43	/EmbedJobOptions	/embedjoboption	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	870	44	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	45	/DSCReportingLevel	/DSCReportingLevel	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	46	0	0	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	47	/EmitDSCWarnings	/EmitDSCWarnings	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	48	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	49	/EndPage	/endpage	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	50	-1	-1	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	51	/ImageMemory	/imagememory	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	52	1048576	1048576	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	53	/LockDistillerParams	/lockdistillerparams	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	54	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	55	/MaxSubsetPct	/MaxSubsetPct	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	56	100	100	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	57	/Optimize	/optimize	VBP
work_fljh2g733fa2fnxmkvwa4p3kby	870	58	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	59	/OPM	/OPM	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	60	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	61	/ParseDSCComments	/ParseDSCComments	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	62	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	63	/ParseDSCCommentsForDocInfo	/ParseDSCCommentsForDocInfo	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	64	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	65	/PreserveCopyPage	/PreserveCopyPage	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	66	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	67	/PreserveDICMYKValues	/PreserveDICMYKValues	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	68	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	69	/PreserveEPSInfo	/PreserveEPSInfo	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	70	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	71	/PreserveFlatness	/PreserveFlatness	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	72	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	73	/PreserveHalftoneInfo	/preservehalftoneinfo	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	74	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	75	/PreserveOPIComments	/PreserveOPIComments	,
work_fljh2g733fa2fnxmkvwa4p3kby	870	76	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	77	/PreserveOverprintSettings	/PreserveOverprintSettings	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	78	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	79	/StartPage	/StartPage	:
work_fljh2g733fa2fnxmkvwa4p3kby	870	80	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	81	/SubsetFonts	/subsetfonts	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	82	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	83	/TransferFunctionInfo	/TransferFunctionInfo	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	84	/Apply	/apply	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	85	/UCRandBGInfo	/UCRandBGInfo	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	86	/Preserve	/Preserve	:
work_fljh2g733fa2fnxmkvwa4p3kby	870	87	/UsePrologue	/UsePrologue	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	88	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	89	/ColorSettingsFile	/ColorSettingsFile	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	90	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	91	None	none	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	92	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	93	/AlwaysEmbed	/alwaysembed	VB
work_fljh2g733fa2fnxmkvwa4p3kby	870	94	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	95	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	96	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	97	/NeverEmbed	/neverembe	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	870	98	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	99	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	100	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	101	/AntiAliasColorImages	/AntiAliasColorImages	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	102	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	103	/CropColorImages	/cropcolorimage	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	870	104	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	105	/ColorImageMinResolution	/colorimageminresolution	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	106	300	300	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	107	/ColorImageMinResolutionPolicy	/colorimageminresolutionpolicy	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	108	/OK	/OK	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	109	/DownsampleColorImages	/DownsampleColorImages	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	110	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	111	/ColorImageDownsampleType	/ColorImageDownsampleType	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	870	112	/Average	/Average	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	113	/ColorImageResolution	/ColorImageResolution	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	114	300	300	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	115	/ColorImageDepth	/colorimagedepth	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	116	8	8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	117	/ColorImageMinDownsampleDepth	/colorimagemindownsampledepth	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	118	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	119	/ColorImageDownsampleThreshold	/colorimagedownsamplethreshold	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	120	1.50000	1.50000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	121	/EncodeColorImages	/EncodeColorImages	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	122	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	123	/ColorImageFilter	/ColorImageFilter	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	124	/FlateEncode	/FlateEncode	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	125	/AutoFilterColorImages	/AutoFilterColorImages	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	126	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	127	/ColorImageAutoFilterStrategy	/ColorImageAutoFilterStrategy	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	128	/JPEG	/JPEG	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	129	/ColorACSImageDict	/ColorACSImageDict	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	130	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	131	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	132	/QFactor	/qfactor	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	133	0.15	0.15	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	134	/HSamples	/HSamples	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	135	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	136	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	137	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	138	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	139	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	140	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	141	/VSamples	/VSamples	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	142	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	143	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	144	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	145	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	146	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	147	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	148	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	149	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	150	/ColorImageDict	/ColorImageDict	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	151	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	152	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	153	/QFactor	/qfactor	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	154	0.15	0.15	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	155	/HSamples	/HSamples	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	156	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	157	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	158	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	159	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	160	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	161	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	162	/VSamples	/VSamples	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	163	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	164	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	165	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	166	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	167	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	168	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	169	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	170	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	171	/JPEG2000ColorACSImageDict	/JPEG2000ColorACSImageDict	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	172	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	173	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	174	/TileWidth	/TileWidth	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	175	256	256	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	176	/TileHeight	/tileheight	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	177	256	256	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	178	/Quality	/quality	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	179	30	30	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	180	>	>	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	181	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	182	/JPEG2000ColorImageDict	/JPEG2000ColorImageDict	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	183	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	184	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	185	/TileWidth	/TileWidth	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	186	256	256	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	187	/TileHeight	/tileheight	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	188	256	256	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	189	/Quality	/quality	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	190	30	30	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	191	>	>	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	192	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	193	/AntiAliasGrayImages	/AntiAliasGrayImages	:
work_fljh2g733fa2fnxmkvwa4p3kby	870	194	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	195	/CropGrayImages	/CropGrayImages	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	196	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	197	/GrayImageMinResolution	/GrayImageMinResolution	:
work_fljh2g733fa2fnxmkvwa4p3kby	870	198	300	300	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	199	/GrayImageMinResolutionPolicy	/grayimageminresolutionpolicy	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	200	/OK	/OK	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	201	/DownsampleGrayImages	/DownsampleGrayImages	,
work_fljh2g733fa2fnxmkvwa4p3kby	870	202	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	203	/GrayImageDownsampleType	/GrayImageDownsampleType	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	204	/Average	/average	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	205	/GrayImageResolution	/GrayImageResolution	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	206	300	300	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	207	/GrayImageDepth	/grayimagedepth	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	208	8	8	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	209	/GrayImageMinDownsampleDepth	/grayimagemindownsampledepth	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	210	2	2	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	211	/GrayImageDownsampleThreshold	/grayimagedownsamplethreshold	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	212	1.50000	1.50000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	213	/EncodeGrayImages	/encodegrayimages	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	214	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	215	/GrayImageFilter	/GrayImageFilter	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	216	/FlateEncode	/flateencode	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	217	/AutoFilterGrayImages	/AutoFilterGrayImages	,
work_fljh2g733fa2fnxmkvwa4p3kby	870	218	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	219	/GrayImageAutoFilterStrategy	/grayimageautofilterstrategy	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	220	/JPEG	/JPEG	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	221	/GrayACSImageDict	/GrayACSImageDict	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	222	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	223	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	224	/QFactor	/qfactor	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	225	0.15	0.15	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	226	/HSamples	/HSamples	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	227	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	228	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	229	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	230	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	231	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	232	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	233	/VSamples	/VSamples	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	234	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	235	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	236	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	237	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	238	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	239	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	240	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	241	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	242	/GrayImageDict	/GrayImageDict	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	243	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	244	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	245	/QFactor	/qfactor	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	246	0.15	0.15	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	247	/HSamples	/HSamples	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	248	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	249	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	250	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	251	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	252	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	253	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	254	/VSamples	/VSamples	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	255	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	256	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	257	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	258	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	259	1	1	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	260	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	261	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	262	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	263	/JPEG2000GrayACSImageDict	/JPEG2000GrayACSImageDict	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	264	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	265	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	266	/TileWidth	/TileWidth	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	267	256	256	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	268	/TileHeight	/tileheight	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	269	256	256	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	270	/Quality	/quality	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	271	30	30	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	272	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	273	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	274	/JPEG2000GrayImageDict	/JPEG2000GrayImageDict	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	275	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	276	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	277	/TileWidth	/TileWidth	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	278	256	256	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	279	/TileHeight	/tileheight	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	280	256	256	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	281	/Quality	/quality	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	282	30	30	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	283	>	>	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	284	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	285	/AntiAliasMonoImages	/AntiAliasMonoImages	:
work_fljh2g733fa2fnxmkvwa4p3kby	870	286	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	287	/CropMonoImages	/CropMonoImages	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	288	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	289	/MonoImageMinResolution	/MonoImageMinResolution	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	290	1200	1200	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	291	/MonoImageMinResolutionPolicy	/MonoImageMinResolutionPolicy	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	292	/OK	/OK	,
work_fljh2g733fa2fnxmkvwa4p3kby	870	293	/DownsampleMonoImages	/DownsampleMonoImages	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	294	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	295	/MonoImageDownsampleType	/MonoImageDownsampleType	,
work_fljh2g733fa2fnxmkvwa4p3kby	870	296	/Average	/average	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	297	/MonoImageResolution	/MonoImageResolution	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	298	1200	1200	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	299	/MonoImageDepth	/monoimagedepth	SYM
work_fljh2g733fa2fnxmkvwa4p3kby	870	300	-1	-1	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	301	/MonoImageDownsampleThreshold	/MonoImageDownsampleThreshold	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	302	1.50000	1.50000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	303	/EncodeMonoImages	/EncodeMonoImages	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	304	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	305	/MonoImageFilter	/MonoImageFilter	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	306	/CCITTFaxEncode	/CCITTFaxEncode	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	307	/MonoImageDict	/MonoImageDict	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	308	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	309	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	310	/K	/K	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	311	-1	-1	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	312	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	313	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	314	/AllowPSXObjects	/AllowPSXObjects	:
work_fljh2g733fa2fnxmkvwa4p3kby	870	315	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	316	/CheckCompliance	/CheckCompliance	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	317	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	318	/None	/None	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	319	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	320	/PDFX1aCheck	/PDFX1aCheck	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	321	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	322	/PDFX3Check	/PDFX3Check	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	323	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	324	/PDFXCompliantPDFOnly	/PDFXCompliantPDFOnly	,
work_fljh2g733fa2fnxmkvwa4p3kby	870	325	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	326	/PDFXNoTrimBoxError	/PDFXNoTrimBoxError	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	327	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	328	/PDFXTrimBoxToMediaBoxOffset	/PDFXTrimBoxToMediaBoxOffset	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	329	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	330	0.00000	0.00000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	331	0.00000	0.00000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	332	0.00000	0.00000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	333	0.00000	0.00000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	334	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	335	/PDFXSetBleedBoxToMediaBox	/PDFXSetBleedBoxToMediaBox	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	336	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	337	/PDFXBleedBoxToTrimBoxOffset	/PDFXBleedBoxToTrimBoxOffset	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	338	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	339	0.00000	0.00000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	340	0.00000	0.00000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	341	0.00000	0.00000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	342	0.00000	0.00000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	870	343	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	344	/PDFXOutputIntentProfile	/PDFXOutputIntentProfile	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	345	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	346	None	none	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	347	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	348	/PDFXOutputConditionIdentifier	/PDFXOutputConditionIdentifier	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	349	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	350	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	351	/PDFXOutputCondition	/PDFXOutputCondition	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	352	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	353	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	354	/PDFXRegistryName	/PDFXRegistryName	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	355	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	356	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	357	/PDFXTrapped	/PDFXTrapped	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	870	358	/False	/False	:
work_fljh2g733fa2fnxmkvwa4p3kby	870	359	/CreateJDFFile	/CreateJDFFile	,
work_fljh2g733fa2fnxmkvwa4p3kby	870	360	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	361	/Description	/description	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	362	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	363	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	364	/CHS	/CHS	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	365	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	366	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	367	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	368	/CHT	/CHT	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	369	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	370	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	371	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	372	/DAN	/DAN	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	373	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	374	FEFF004200720075006700200069006e0064007300740069006c006c0069006e006700650072006e0065002000740069006c0020006100740020006f007000720065007400740065002000410064006f006200650020005000440046002d0064006f006b0075006d0065006e007400650072002000740069006c0020006b00760061006c00690074006500740073007500640073006b007200690076006e0069006e006700200065006c006c006500720020006b006f007200720065006b007400750072006c00e60073006e0069006e0067002e0020004400650020006f007000720065007400740065006400650020005000440046002d0064006f006b0075006d0065006e0074006500720020006b0061006e002000e50062006e00650073002000690020004100630072006f00620061007400200065006c006c006500720020004100630072006f006200610074002000520065006100640065007200200035002e00300020006f00670020006e0079006500720065002e	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	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	375	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	376	/DEU	/DEU	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	377	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	378	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	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	379	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	380	/ESP	/ESP	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	381	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	382	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	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	383	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	384	/FRA	/FRA	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	385	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	386	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	FEFF005500740069006c006900730065007a00200063006500730020006f007000740069006f006e00730020006100660069006e00200064006500200063007200e900650072002000640065007300200064006f00630075006d0065006e00740073002000410064006f00620065002000500044004600200070006f007500720020006400650073002000e90070007200650075007600650073002000650074002000640065007300200069006d007000720065007300730069006f006e00730020006400650020006800610075007400650020007100750061006c0069007400e90020007300750072002000640065007300200069006d007000720069006d0061006e0074006500730020006400650020006200750072006500610075002e0020004c0065007300200064006f00630075006d0065006e00740073002000500044004600200063007200e900e90073002000700065007500760065006e0074002000ea0074007200650020006f007500760065007200740073002000640061006e00730020004100630072006f006200610074002c002000610069006e00730069002000710075002700410064006f00620065002000520065006100640065007200200035002e0030002000650074002000760065007200730069006f006e007300200075006c007400e90072006900650075007200650073002e	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	387	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	388	/ITA	/ITA	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	389	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	390	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	IN
work_fljh2g733fa2fnxmkvwa4p3kby	870	391	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	392	/JPN	/JPN	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	393	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	394	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	FEFF9ad854c18cea51fa529b7528002000410064006f0062006500200050004400460020658766f8306e4f5c6210306b4f7f75283057307e30593002537052376642306e753b8cea3092670059279650306b4fdd306430533068304c3067304d307e3059300230c730b930af30c830c330d730d730ea30f330bf3067306e53705237307e305f306f30d730eb30fc30d57528306b9069305730663044307e305930023053306e8a2d5b9a30674f5c62103055308c305f0020005000440046002030d530a130a430eb306f3001004100630072006f0062006100740020304a30883073002000410064006f00620065002000520065006100640065007200200035002e003000204ee5964d3067958b304f30533068304c3067304d307e30593002	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	395	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	396	/KOR	/KOR	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	397	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	398	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	399	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	870	400	/NLD	/NLD	.
work_fljh2g733fa2fnxmkvwa4p3kby	870	401	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	870	402	Gebruik	Gebruik	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	403	deze	deze	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	870	404	instellingen	instellingen	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	405	om	om	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	406	Adobe	Adobe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	407	PDF	PDF	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	408	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	870	409	documenten	documenten	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	870	410	te	te	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	411	maken	maken	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	412	voor	voor	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	413	kwaliteitsafdrukken	kwaliteitsafdrukken	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	870	414	op	op	NN
work_fljh2g733fa2fnxmkvwa4p3kby	870	415	desktopprinters	desktopprinter	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	870	416	en	en	IN
work_fljh2g733fa2fnxmkvwa4p3kby	870	417	proofers	proofer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	870	418	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	871	1	De	De	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	871	2	gemaakte	gemaakte	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	871	3	PDF	PDF	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	871	4	-	-	HYPH
work_fljh2g733fa2fnxmkvwa4p3kby	871	5	documenten	documenten	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	871	6	kunnen	kunnen	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	871	7	worden	worden	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	871	8	geopend	geopend	NN
work_fljh2g733fa2fnxmkvwa4p3kby	871	9	met	meet	VBD
work_fljh2g733fa2fnxmkvwa4p3kby	871	10	Acrobat	Acrobat	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	871	11	en	en	IN
work_fljh2g733fa2fnxmkvwa4p3kby	871	12	Adobe	Adobe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	871	13	Reader	Reader	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	871	14	5.0	5.0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	871	15	en	en	NN
work_fljh2g733fa2fnxmkvwa4p3kby	871	16	hoger	hoger	NN
work_fljh2g733fa2fnxmkvwa4p3kby	871	17	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	871	18	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	872	1	/NOR	/NOR	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	872	2	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	872	3	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	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	872	4	>	>	NN
work_fljh2g733fa2fnxmkvwa4p3kby	872	5	/PTB	/PTB	.
work_fljh2g733fa2fnxmkvwa4p3kby	872	6	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	872	7	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	FEFF005500740069006c0069007a006500200065007300730061007300200063006f006e00660069006700750072006100e700f50065007300200064006500200066006f0072006d00610020006100200063007200690061007200200064006f00630075006d0065006e0074006f0073002000410064006f0062006500200050004400460020007000610072006100200069006d0070007200650073007300f5006500730020006400650020007100750061006c0069006400610064006500200065006d00200069006d00700072006500730073006f0072006100730020006400650073006b0074006f00700020006500200064006900730070006f00730069007400690076006f0073002000640065002000700072006f00760061002e0020004f007300200064006f00630075006d0065006e0074006f00730020005000440046002000630072006900610064006f007300200070006f00640065006d0020007300650072002000610062006500720074006f007300200063006f006d0020006f0020004100630072006f006200610074002000650020006f002000410064006f00620065002000520065006100640065007200200035002e0030002000650020007600650072007300f50065007300200070006f00730074006500720069006f007200650073002e	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	872	8	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	872	9	/SUO	/suo	FW
work_fljh2g733fa2fnxmkvwa4p3kby	872	10	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	872	11	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	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	872	12	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	872	13	/SVE	/SVE	.
work_fljh2g733fa2fnxmkvwa4p3kby	872	14	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	872	15	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	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	872	16	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	872	17	/ENU	/ENU	.
work_fljh2g733fa2fnxmkvwa4p3kby	872	18	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	872	19	Use	use	VB
work_fljh2g733fa2fnxmkvwa4p3kby	872	20	these	these	DT
work_fljh2g733fa2fnxmkvwa4p3kby	872	21	settings	setting	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	872	22	to	to	TO
work_fljh2g733fa2fnxmkvwa4p3kby	872	23	create	create	VB
work_fljh2g733fa2fnxmkvwa4p3kby	872	24	Adobe	Adobe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	872	25	PDF	PDF	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	872	26	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	872	27	for	for	IN
work_fljh2g733fa2fnxmkvwa4p3kby	872	28	quality	quality	NN
work_fljh2g733fa2fnxmkvwa4p3kby	872	29	printing	print	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	872	30	on	on	IN
work_fljh2g733fa2fnxmkvwa4p3kby	872	31	desktop	desktop	NN
work_fljh2g733fa2fnxmkvwa4p3kby	872	32	printers	printer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	872	33	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	872	34	proofers	proofer	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	872	35	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	873	1	Created	create	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	873	2	PDF	PDF	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	873	3	documents	document	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	873	4	can	can	MD
work_fljh2g733fa2fnxmkvwa4p3kby	873	5	be	be	VB
work_fljh2g733fa2fnxmkvwa4p3kby	873	6	opened	open	VBN
work_fljh2g733fa2fnxmkvwa4p3kby	873	7	with	with	IN
work_fljh2g733fa2fnxmkvwa4p3kby	873	8	Acrobat	Acrobat	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	873	9	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	873	10	Adobe	Adobe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	873	11	Reader	Reader	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	873	12	5.0	5.0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	873	13	and	and	CC
work_fljh2g733fa2fnxmkvwa4p3kby	873	14	later	later	RB
work_fljh2g733fa2fnxmkvwa4p3kby	873	15	.	.	.
work_fljh2g733fa2fnxmkvwa4p3kby	873	16	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	1	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	2	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	3	/Namespace	/namespace	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	4	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	5	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	6	Adobe	Adobe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	874	7	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	8	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	9	Common	Common	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	874	10	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	11	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	12	1.0	1.0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	874	13	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	14	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	15	/OtherNamespaces	/OtherNamespaces	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	874	16	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	17	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	18	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	19	/AsReaderSpreads	/AsReaderSpreads	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	20	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	21	/CropImagesToFrames	/CropImagesToFrames	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	874	22	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	23	/ErrorControl	/ErrorControl	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	24	/WarnAndContinue	/WarnAndContinue	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	25	/FlattenerIgnoreSpreadOverrides	/FlattenerIgnoreSpreadOverrides	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	874	26	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	27	/IncludeGuidesGrids	/IncludeGuidesGrids	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	28	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	29	/IncludeNonPrinting	/includenonprinte	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	874	30	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	31	/IncludeSlug	/IncludeSlug	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	32	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	33	/Namespace	/namespace	NN
work_fljh2g733fa2fnxmkvwa4p3kby	874	34	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	35	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	36	Adobe	Adobe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	874	37	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	38	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	39	InDesign	InDesign	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	874	40	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	41	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	42	4.0	4.0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	874	43	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	44	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	45	/OmitPlacedBitmaps	/OmitPlacedBitmaps	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	874	46	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	47	/OmitPlacedEPS	/OmitPlacedEPS	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	874	48	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	49	/OmitPlacedPDF	/OmitPlacedPDF	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	874	50	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	51	/SimulateOverprint	/SimulateOverprint	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	874	52	/Legacy	/Legacy	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	53	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	54	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	55	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	56	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	57	/AddBleedMarks	/AddBleedMarks	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	58	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	59	/AddColorBars	/AddColorBars	:
work_fljh2g733fa2fnxmkvwa4p3kby	874	60	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	61	/AddCropMarks	/AddCropMarks	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	62	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	63	/AddPageInfo	/AddPageInfo	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	64	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	65	/AddRegMarks	/AddRegMarks	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	66	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	67	/ConvertColors	/convertcolors	NN
work_fljh2g733fa2fnxmkvwa4p3kby	874	68	/NoConversion	/NoConversion	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	69	/DestinationProfileName	/DestinationProfileName	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	70	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	71	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	72	/DestinationProfileSelector	/DestinationProfileSelector	NFP
work_fljh2g733fa2fnxmkvwa4p3kby	874	73	/NA	/NA	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	74	/Downsample16BitImages	/Downsample16BitImages	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	75	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	76	/FlattenerPreset	/FlattenerPreset	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	77	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	78	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	79	/PresetSelector	/presetselector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	874	80	/MediumResolution	/MediumResolution	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	81	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	82	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	83	/FormElements	/formelement	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	874	84	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	85	/GenerateStructure	/generatestructure	NN
work_fljh2g733fa2fnxmkvwa4p3kby	874	86	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	87	/IncludeBookmarks	/IncludeBookmarks	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	88	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	89	/IncludeHyperlinks	/includehyperlinks	NN
work_fljh2g733fa2fnxmkvwa4p3kby	874	90	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	91	/IncludeInteractive	/includeinteractive	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	92	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	93	/IncludeLayers	/IncludeLayers	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	94	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	95	/IncludeProfiles	/IncludeProfiles	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	96	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	97	/MultimediaHandling	/multimediahandling	NN
work_fljh2g733fa2fnxmkvwa4p3kby	874	98	/UseObjectSettings	/UseObjectSettings	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	99	/Namespace	/Namespace	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	100	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	101	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	102	Adobe	Adobe	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	874	103	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	104	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	105	CreativeSuite	CreativeSuite	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	874	106	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	107	(	(	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	108	2.0	2.0	CD
work_fljh2g733fa2fnxmkvwa4p3kby	874	109	)	)	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	110	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	111	/PDFXOutputIntentProfileSelector	/pdfxoutputintentprofileselector	NN
work_fljh2g733fa2fnxmkvwa4p3kby	874	112	/NA	/NA	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	113	/PreserveEditing	/preserveedite	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	874	114	true	true	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	115	/UntaggedCMYKHandling	/untaggedcmykhandling	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	116	/LeaveUntagged	/leaveuntagged	PRP$
work_fljh2g733fa2fnxmkvwa4p3kby	874	117	/UntaggedRGBHandling	/untaggedrgbhandle	VBG
work_fljh2g733fa2fnxmkvwa4p3kby	874	118	/LeaveUntagged	/leaveuntagged	UH
work_fljh2g733fa2fnxmkvwa4p3kby	874	119	/UseDocumentBleed	/UseDocumentBleed	,
work_fljh2g733fa2fnxmkvwa4p3kby	874	120	false	false	JJ
work_fljh2g733fa2fnxmkvwa4p3kby	874	121	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	122	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	123	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	124	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	125	>	>	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	126	setdistillerparams	setdistillerparam	NNS
work_fljh2g733fa2fnxmkvwa4p3kby	874	127	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	128	<	<	XX
work_fljh2g733fa2fnxmkvwa4p3kby	874	129	/HWResolution	/HWResolution	NNP
work_fljh2g733fa2fnxmkvwa4p3kby	874	130	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	131	2400	2400	CD
work_fljh2g733fa2fnxmkvwa4p3kby	874	132	2400	2400	CD
work_fljh2g733fa2fnxmkvwa4p3kby	874	133	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	134	/PageSize	/PageSize	.
work_fljh2g733fa2fnxmkvwa4p3kby	874	135	[	[	-LRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	136	612.000	612.000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	874	137	792.000	792.000	CD
work_fljh2g733fa2fnxmkvwa4p3kby	874	138	]	]	-RRB-
work_fljh2g733fa2fnxmkvwa4p3kby	874	139	>	>	XX
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work_fljh2g733fa2fnxmkvwa4p3kby	874	141	setpagedevice	setpagedevice	NN