JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2014, Vol. 49 ›› Issue (11): 37-42.doi: 10.6040/j.issn.1671-9352.3.2014.136

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Sentiment analysis of Chinese Micro-blog based on semi-supervised learning

ZHU Xi, DONG Xi-shuang, GUAN Yi, LIU Zhi-guang   

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China
  • Received:2014-08-28 Revised:2014-10-21 Online:2014-11-20 Published:2014-11-25

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Abstract: Sentiment analysis of Chinese Micro-blog usually refers to classification of Micro-blogs into positive, negative and neutral polarity. According to the characteristics of Micro-blogs, such as fragmentation and imbalanced of sentiment class, on the basis of reserved self-training method we presented before, text features were extracted that are appropriate for the sentiment analysis of Micro-blog, and then a training degree threshold setup method was proposed to optimize the iteration termination condition of reserved self-training method. These methods not only take advantage of the effective treatment on imbalanced distribution problem but also prevent the overtraining problem in training process. The evaluation result in COAE2014 showed the effectiveness of these methods.

Key words: training degree threshold, sentiment analysis, reserved self-training

CLC Number: 

  • TP391
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