• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2011, Vol. 33 ›› Issue (5): 146-150.

• 论文 • Previous Articles     Next Articles

Sentiment Analysis Based on Rules and Statistics

ZAN Hongying1,ZUO Weisong1,ZHANG Kunli1,WU Yunfang2   

  1. (1.School of Information and Engineering,Zhengzhou University,Zhengzhou 450052;
    2.Institute of Computational Linguistics,Peking University,Beijing 100871,China)
  • Received:2010-03-21 Revised:2010-09-28 Online:2011-05-25 Published:2011-05-25

Abstract:

In this paper, we propose a new model of sentiment analysis which is based on the recursive and divided function, and explain the rationality of the model. The paper analyzes the advantages and disadvantages of sentiment analysis. The advantages of the resourcebased approach are that the emotional vocabulary is accurate. The shortcomings of this method is that the soundness is poor. But the statistical methods are opposite. Additionally, the paper provides a new way to analyse the sentiment of texts,and verifies the effectiveness. The method attains an accuracy of 77.68% on the test, although the data is imbalancing.

Key words: Chinese information processing;sentiment classification;collocation rules;decision list