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An empirical study of sentiment analysis for chinese documents

文献类型:期刊论文

作者Tan, Songbo; Zhang, Jin
刊名EXPERT SYSTEMS WITH APPLICATIONS
出版日期2008-05-04
卷号34期号:4页码:2622-2629
关键词sentiment analysis information retrieval machine learning
ISSN号0957-4174
DOI10.1016/j.eswa.2007.05.028
英文摘要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.
WOS研究方向Computer Science ; Engineering ; Operations Research & Management Science
语种英语
WOS记录号WOS:000253521900038
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://119.78.100.204/handle/2XEOYT63/11245]  
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.

入库方式: OAI收割

来源:计算技术研究所

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