id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_shio3as3kbbcpkmwhnofspvq6q	Xiaoqian Liu	Deep learning for constructing microblog behavior representation to identify social media user's personality	2016	15	.pdf	application/pdf	6347	655	51	Keywords Personality prediction, Social media behavior, Deep learning, Feature learning How to cite this article Liu and Zhu (2016), Deep learning for constructing microblog behavior representation to identify social media attributes obtained by artificially means, LRFV could represent users' linguistic behavior algorithm to investigate the correlation between users' linguistic behavior on social media linguistic representation for personality prediction based on the deep learning algorithm. Lima & De Castro (2013) used a semisupervised method to predict personality based on the attributes of linguistic behaviors investigate the correlation between a user's social network behavior and personality. characteristics, for each trait of personality, we build a linguistic behavior feature learning prediction model based on linguistic behavior feature vectors. is concluded that personality prediction based on the linguistic behavior in social network model also obtain better results based on the linguistic behavior feature vectors. users' personality traits and their social network linguistic behaviors.	./cache/work_shio3as3kbbcpkmwhnofspvq6q.pdf	./txt/work_shio3as3kbbcpkmwhnofspvq6q.txt