id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_qfsbk44dp5hapniij77q7pd4wi	Danyang Li	The Extraction of Comment Information and Sentiment Analysis in Chinese Reviews	2018	5	.pdf	application/pdf	3005	293	63	The Extraction of Comment Information and Sentiment Analysis in Chinese CRF, this paper will extract several pairs of theme words and Keywords-CRF; Extract Theme Words; Extract Sentiment information includes the theme words and sentiment words text sentiment analysis, the existing methods for extracting evaluation object as an sentiment word[2]. model to extract comment information. Based on the statistical method, this paper uses the CRF emotional dictionary to extract the comment information, as extracted sentiment words and exporting final results. Review Information Extraction Process Based on CRF Review Information Extraction Process Based on CRF 1) Building a sentiment word dictionary: This paper In a word, this paper uses the F1 value as an evaluation Theme words in data set / Total number of sentiment words The CRF model is trained after the data set is In this paper, the CRF statistical model is used to extract extraction feature of evaluation object based on CRFs," J.	./cache/work_qfsbk44dp5hapniij77q7pd4wi.pdf	./txt/work_qfsbk44dp5hapniij77q7pd4wi.txt