id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_uw2kasvi35colekztybbjut4sm	Hajar El Hannach	WordNet based Implicit Aspect Sentiment Analysis for Crime Identification from Twitter	2018	10	.pdf	application/pdf	6924	646	59	WordNet based Implicit Aspect Sentiment Analysis for Crime Identification from Twitter WordNet based Implicit Aspect Sentiment Analysis enhance training data for (1) Crime Implicit Aspect sentences detection (IASD) and (2) Crime Implicit Aspect Identification model to represent implicit aspects and improve training data. corpus adjectives and verbs to best represent implicit aspects To represent crime implicit aspects, our hybrid model build a classification model for crime implicit aspect sentences Crime Implicit Aspect Sentences Detection using Hybrid Model. Crime Implicit Aspect Identification using Hybrid Model. F1-Performances of MNB, SVM and RF using Different W-Training Data Splits, with and without the best WN Subsets on CRIME CORPUS 2 for IAI F1-Performances of MNB, SVM and RF using Different W-Training Data Splits, with and without the best WN Subsets on CRIME CORPUS 2 for IAI classifiers identifying the implicit aspect for crime datasets. Aspect Based Sentiment Analysis for Crime datasets.	./cache/work_uw2kasvi35colekztybbjut4sm.pdf	./txt/work_uw2kasvi35colekztybbjut4sm.txt