Computer Science ›› 2013, Vol. 40 ›› Issue (11): 231-235.

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Sentiment Analysis of Chinese Microblog Using Topic Self-adaptation

REN Yuan,CHAO Wen-han,ZHOU Qing and LI Zhou-jun   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Recently,with the rapid development of social networks,sentiment analysis over social networks has gradually become a new hot research topic,especially in the field of data mining.The typical features of Chinese microblog (such as “short” and “flexible”) bring some new challenges for the researcher to analyze its sentiment.So this paper carried out a systematic study on Chinese microblogging emotional analysis technology,including data preprocessing,sentimental lexicon construction,topic adjunction.In additon,to improve the precision of sentiment analysis,a novel emotional words classification approach was proposed.Meanwhile,we proposed a topic-oriented adaptive method to promote the work of emotional words identification.And the experimental results demonstrate the feasibility and effectiveness of our approach.

Key words: Chinese microblog,Sentiment analysis,Sentimental words,Topic self-adaptation

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