JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2015, Vol. 45 ›› Issue (1): 19-23.doi: 10.6040/j.issn.1672-3961.1.2014.250

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A sentiment analysis method based on dynamic lexicon and three-way decision

ZHOU Zhe1,2, SHANG Lin1,2   

  1. 1. Department of Computer Science and Technology, Nanjing University, Nanjing 210046, Jiangsu, China;
    2. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210046, Jiangsu, China
  • Received:2014-05-23 Revised:2014-10-15 Published:2014-05-23

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Abstract: A new way of feature extraction and the concept of three-way decision was utilized in traditional text sentiment analysis methods in order to boost the classification accuracy. In the new method, a dynamic lexicon was introduced according to the training set and was utilized to extract abstract features for every piece of text to form the feature matrix. Besides, in the classification process, target texts with which the classifier had low confidence of sentiment labels were put into the boundary region for later decision. Experimental results showed that the method reached better results with the help of dynamic sentiment lexicon, and the three-way decision also raised the accuracy of classification.

Key words: text data mining, three-way decision, sentiment analysis, opinion mining, feature extraction

CLC Number: 

  • TP391
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