标题:A comparison study of multi-class sentiment classification for Chinese reviews
作者:Zhang, Dongmei ;Li, Shengen ;Zhu, Cuiling ;Niu, Xiaofei ;Song, Ling
通讯作者:Zhang, D
作者机构:[Zhang, Dongmei ;Li, Shengen ;Niu, Xiaofei ;Song, Ling ] School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China;[Zhang, 更多
会议名称:2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
会议日期:10 August 2010 through 12 August 2010
来源:Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
出版年:2010
卷:5
页码:2433-2436
DOI:10.1109/FSKD.2010.5569300
关键词:Machine learning; Multi-class classification; Rating scale; Sentiment analysis
摘要:Most of the previous researches on sentiment analysis concentrate on the binary distinction of positive vs. negative. This paper presents the multi-class sentiment classification problem that attempt to mine the implied rating information from reviews. We use four machine learning methods and two feature selection methods to find out whether or not the multi-class sentiment classification problem is the same to the binary sentiment classification problem, and whether it is equal to the traditional multi-class classification problem. Experiments show that multi-class sentiment classification problem is difficult than that of only determining the polarity of a review and that it is different from traditional multi-class classification problem, thus traditional multi-class classification method can not be directly used to deal with this problem. ©2010 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:4
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-78649276123&doi=10.1109%2fFSKD.2010.5569300&partnerID=40&md5=5de7baa7ec37c4be060979c2052ecd1b
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