JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2013, Vol. 43 ›› Issue (6): 7-11.

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A method of sentiment classification for Chinese comments based on naive Bayesian

LU Ling1, WANG Yue2, YANG Wu1   

  1. 1. College of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China;
    2. Office of International Cooperation,  Chongqing University of Technology, Chongqing 400054, China
  • Received:2013-06-28 Online:2013-12-20 Published:2013-06-28

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Abstract:

A method of sentiment classification for Chinese  comments based on naive Bayesian was presented. The sentiment phrases were used as document features in the approach. The task was decomposed into three phases: the identifying sentiment phrases by sentiment dictionary and negative adverbs, the extracting features according to threshold of CHI, and the constructing sentiment classifier based on naive Bayesian. Some experiments were conducted under distinct environments, including different threshold of CHI, different feature selection, such as sentiment words or sentiment phrases, and different area of training corpuses. The experimental results showed that the classifier based on naive Bayesian working could obtain high performance.

Key words: sentiment phrases, sentiment dictionary, naive Bayesian, sentiment classification, CHI

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