JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (1): 58-64.doi: 10.6040/j.issn.1671-9352.1.2015.035

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Extraction of opinion targets and opinion words from Chinese sentences based on word alignment model

CHEN Xing-jun, WEI Jing-jing, LIAO Xiang-wen*, JIAN Si-yuan, CHEN Guo-long   

  1. College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350116, Fujian, China
  • Received:2015-09-25 Online:2016-01-16 Published:2016-11-29

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Abstract: This paper proposed an approach to extract opinion targets and opinion words based on the idea of statistical machine translation. This method extracted the associations between opinion targets and opinion words by using word alignment model, whose strength was estimated with word co-occurrence. To model these associations, the approach constructed a bipartite graph. Then a domain relevance measure was used, and random-walk algorithm was applied to calculate the confidence of each opinion target candidates and opinion word candidates. The method was evaluated on the labeled corpus of task 3 in COAE2011.The experiment results showed that it could effectively improve the accuracy by employing the model of word-alignment to extract opinion targets and opinion words, and the method could extract more targets and words simultaneously.

Key words: opinion targets extraction, Chinese sentence, word-alignment model, opinion word extraction

CLC Number: 

  • TP391
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