An empirical study of sentiment analysis for chinese documents

doi:10.1016/j.eswa.2007.05.028

	An empirical study of sentiment analysis for chinese documents
	Tan, Songbo; Zhang, Jin
	2008-05-04
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
ISSN	0957-4174
卷号	34 期号:4 页码:2622-2629
摘要	Up to now, there are very few researches conducted on sentiment classification for Chinese documents. In order to remedy this deficiency, this paper presents an empirical study of sentiment categorization on Chinese documents. Four feature selection methods (MI, IG, CHI and DF) and five learning methods (centroid classifier, K-nearest neighbor, winnow classifier, Naive Bayes and SVM) are investigated on a Chinese sentiment corpus with a size of 1021 documents. The experimental results indicate that IG performs the best for sentimental terms selection and SVM exhibits the best performance for sentiment classification. Furthermore, we found that sentiment classifiers are severely dependent on domains or topics. (c) 2007 Elsevier Ltd. All rights reserved.
关键词	sentiment analysis information retrieval machine learning
DOI	10.1016/j.eswa.2007.05.028
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:000253521900038
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计	被引频次：261[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/11246
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Tan, Songbo
作者单位	Chinese Acad Sci, Inst Comp Technol, Intelligent Software Dept, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Tan, Songbo,Zhang, Jin. An empirical study of sentiment analysis for chinese documents[J]. EXPERT SYSTEMS WITH APPLICATIONS,2008,34(4):2622-2629.
APA	Tan, Songbo,&Zhang, Jin.(2008).An empirical study of sentiment analysis for chinese documents.EXPERT SYSTEMS WITH APPLICATIONS,34(4),2622-2629.
MLA	Tan, Songbo,et al."An empirical study of sentiment analysis for chinese documents".EXPERT SYSTEMS WITH APPLICATIONS 34.4(2008):2622-2629.