CASIA OpenIR  > 模式识别国家重点实验室  > 自然语言处理
Ensemble of feature sets and classification algorithms for sentiment classification
Xia, Rui1; Zong, Chengqing1; Li, Shoushan2
Source PublicationINFORMATION SCIENCES
2011-03-15
Volume181Issue:6Pages:1138-1152
SubtypeArticle
AbstractIn this paper, we make a comparative study of the effectiveness of ensemble technique for sentiment classification. The ensemble framework is applied to sentiment classification tasks, with the aim of efficiently integrating different feature sets and classification algorithms to synthesize a more accurate classification procedure. First, two types of feature sets are designed for sentiment classification, namely the part-of-speech based feature sets and the word-relation based feature sets. Second, three well-known text classification algorithms, namely naive Bayes, maximum entropy and support vector machines, are employed as base-classifiers for each of the feature sets. Third, three types of ensemble methods, namely the fixed combination, weighted combination and meta-classifier combination, are evaluated for three ensemble strategies. A wide range of comparative experiments are conducted on five widely-used datasets in sentiment classification. Finally, some in-depth discussion is presented and conclusions are drawn about the effectiveness of ensemble technique for sentiment classification. (C) 2010 Elsevier Inc. All rights reserved.
KeywordSentiment Classification Text Classification Ensemble Learning Classifier Combination Comparative Study
WOS HeadingsScience & Technology ; Technology
WOS KeywordCOMBINING CLASSIFIERS ; COMBINATIONS ; INFORMATION
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000287063900008
Citation statistics
Cited Times:203[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4119
Collection模式识别国家重点实验室_自然语言处理
Corresponding AuthorXia, Rui
Affiliation1.Chinese Acad Sci CASIA, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Soochow Univ, Dept Comp Sci & Technol, Suzhou 215006, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Xia, Rui,Zong, Chengqing,Li, Shoushan. Ensemble of feature sets and classification algorithms for sentiment classification[J]. INFORMATION SCIENCES,2011,181(6):1138-1152.
APA Xia, Rui,Zong, Chengqing,&Li, Shoushan.(2011).Ensemble of feature sets and classification algorithms for sentiment classification.INFORMATION SCIENCES,181(6),1138-1152.
MLA Xia, Rui,et al."Ensemble of feature sets and classification algorithms for sentiment classification".INFORMATION SCIENCES 181.6(2011):1138-1152.
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