JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2015, Vol. 50 ›› Issue (07): 71-75.doi: 10.6040/j.issn.1671-9352.3.2014.108

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New microblog sentiment lexicon judgment based on generalized Jaccard coefficient

SANG Le-yuan, XU Xin-feng, ZHANG Jing, HUANG De-gen   

  1. School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, Liaoning, China
  • Received:2015-03-03 Online:2015-07-20 Published:2015-07-31

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Abstract: New microblog sentiment lexicon polarity judgment is a basic task aiming at classifying its emotion categories in sentiment analysis. This paper proposed a new approach that can judge the polarity of new microblog sentiment lexicon. The feature vectors are employed to represent new sentiment lexicon and the existing sentiment lexicon while the weight values are calculated by PMI. The similarity between the new sentiment lexicon and the candidates which is from three sentiment lexicon sets of different polarities through the generalized Jaccard coefficient, and the relativity between the new sentiment lexicon and the existing sentiment lexicon sets is defined as the sum of the above similarities. Finally, relativity distance differences of the three sentiment lexicon sets are applied to judge the polarity. The result of experiment showed that the F-score calculated through polarity judgment algorithm base on the generalized Jaccard coefficient was two points higher than the best team in COAE 2014.

Key words: feature vector, PMI, distance difference, unsupervised

CLC Number: 

  • TP391
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