JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (11): 14-21.doi: 10.6040/j.issn.1671-9352.3.2014.069

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Sentiment classification method of Chinese Micro-blog based on semantic analysis

YANG Jia-neng1,3, YANG Ai-min2, ZHOU Yong-mei2   

  1. 1. School of Management, Guangdong University of Foreign Studies, Guangzhou 510006, Guangdong, China;
    2. Cisco School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006, Guangdong, China;
    3. Guangdong Planning and Designing Institute of Telecommunications Co., Ltd., Guangzhou 510630, Guangdong, China
  • Received:2014-08-28 Revised:2014-10-24 Online:2014-11-20 Published:2014-11-25

Abstract: By analyzing the structural features of Chinese Micro-blog, a sentiment classification method based on semantic analysis was proposed. For the proposed method, firstly, an emoticons sentiment lexicon and a network language sentiment lexicon were built. Then by using these two lexicons and the dependency parsing results, the sentiment expression Binary Tree was constructed. Finally, the sentiment strength, which was calculated by the established rules, was applied into the sentiment classification. Experimental results show that this method is effective and two built sentiment lexicons can better enhance the performance of the sentiment analysis system.

Key words: sentiment analysis, network language, Chinese Micro-blog, dependency parsing, emoticons

CLC Number: 

  • TP391
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