JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (11): 1-7.doi: 10.6040/j.issn.1671-9352.3.2014.194

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Sentiment analysis on Chinese Micro-blog corpus

LUO Yi, LI Li, TAN Song-bo, CHENG Xue-qi   

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2014-08-28 Revised:2014-10-24 Online:2014-11-20 Published:2014-11-25

Abstract: The rise and spread of Micro-blog make sentiment classification on short texts become a hot area. A new method was proposed for Micro-blog sentiment classification. First of all, this method will create an emotional dictionary with two-levels, and the words for different levels will get different enhancement; then in order to get features, N-gram method was used, which found new emotional words and emotional information from a short text. The experiment results show this approach has improved precision and recall rate compared to the traditional ways. This algorithm also did a very good job in COAE 2014.

Key words: tendentious analysis, sentiment classification, opinion mining

CLC Number: 

  • TP391
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