The Sentiment Analysis in Opinion Mining of Web News Comments

被引：0
|
作者：
Du, Qing [1 ]
Guo, Fen [1 ]
Wang, Jiangxing [1 ]
机构：
[1] S China Univ Technol, Sch Software Engn, Guangzhou 510006, Guangdong, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL POWER, ELECTRONICS AND MATERIALS ENGINEERING CONFERENCE | 2015年 / 17卷
关键词：
Opinion Analysis; Semantic Analysis; Semantic Similarity Calculation;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Opinions' analysis on web news comments is a great significance for the construction of the government's democratic politics, public opinion monitoring and decision support, etc. In this paper we analyze user's opinion from emotional word, emotional word qualifier, and emotional tendency. We proposed an emotional word qualifier extract algorithm based on dependency relation tree. We improved the words polarity calculation algorithm based on HowNet. Finally, we implemented the system of opinion mining on web news comments, and got the overall sentiment analysis.
引用
收藏
页码：49 / 53
页数：5
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