Computer Science ›› 2014, Vol. 41 ›› Issue (9): 253-258.doi: 10.11896/j.issn.1002-137X.2014.09.048

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Emotion Analysis of Chinese Microblogs Using Lexicon-based Approach

NIU Yun,PAN Ming-hui,WEI Ou and CAI Xin-ye   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The proliferation of microblogs has created a digital platform where people are able to express themselves through a variety of means.Automatic analysis of the emotional content in microblogs plays an important role in capturing popular feelings and adjusting personal mood.In this paper,a lexicon-based approach was proposed to automatically determine whether a microblog expresses one of the four basic emotions:joy,sadness,anger,and fear.We performed an extensive analysis of current Chinese emotion lexicons to understand their roles in analyzing social media text.The experimental results show that lexicon is a crucial resource in emotion analysis.The results also reveal limitations of current Chinese emotion lexicon.The characteristics of emotion in microblgs are identified for building advanced emotion analysis system.

Key words: Microblog,Emotion analysis,Emotion lexicon

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