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Using Objective Words in SentiWordNet to Improve Word-of-Mouth Sentiment Classification
March-April 2013 (vol. 28 no. 2)
pp. 47-54
Chihli Hung, Chung Yuan Christian University
Hao-Kai Lin, Chung Yuan Christian University
To improve the performance of word-of-mouth sentiment classification, this article reevaluates objective sentiment words in the SentiWordNet sentiment lexicon.
Index Terms:
Intelligent systems,Text mining,Data mining,Text analysis,Emotion recognition,Web and internet services,Tagging,Natural language processing,Web text analysis,Intelligent systems,Text mining,Data mining,Text analysis,Emotion recognition,Web and internet services,Tagging,Natural language processing,intelligent systems,text mining,sentiment analysis,opinion mining,Web mining,document analysis
Citation:
Chihli Hung, Hao-Kai Lin, "Using Objective Words in SentiWordNet to Improve Word-of-Mouth Sentiment Classification," IEEE Intelligent Systems, vol. 28, no. 2, pp. 47-54, March-April 2013, doi:10.1109/MIS.2013.1
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