An Improved Method of Sentiment Analysis of Chinese web Reviews

被引：0

作者：

Yan, Jianzhuo ^{[1
]}

Li, Pengying ^{[1
]}

Fang, Liying ^{[1
]}

机构：

[1] Beijing Univ Technol, Sch Elect Informat & Control Engn, Beijing, Peoples R China

来源：

2014 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2014), VOL 1 | 2014年

关键词：

sentiment analysis; opinion mining; aspect extraction; sentiment strength;

D O I：

10.1109/ISCID.2014.237

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The web reviews contain a lot of features of the evaluation object and express the viewpoints or attitudes of the reviewers. Therefore, analyzing them and identifying the sentiment polarity will be significantly important and valuable. This paper uses the appearing-frequency of noun words to extract the aspect words and uses some semantic rules to extract opinion words to form the aspect - opinion word pairs. We use the sentiment orientation-point mutual information (SO-PMI) algorithm to calculate the sentiment strength of opinion words and get the semantic orientation of the opinion words and improved the algorithm. With the Chinese reviews of doctors from the medical websites www.39.net and www.chan120.net, experimental results demonstrate the validity of the proposed method.

引用

页码：351 / 355

页数：5

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