Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (5): 90-93.doi: 10.13190/jbupt.201205.90.suny

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Opinion Words Expansion Based on Dependency Parsing

SUN Yan, ZHOU Xue-guang, FU Wei   

  1. College of Electronic Engineering, Navy University of Engineering
  • Received:2012-01-10 Revised:2012-05-21 Online:2012-10-28 Published:2012-07-06
  • Contact: Yan SUN E-mail:yzisun@126.com

Abstract:

The forgoing experiments have shown that the method of opinion words identification with non-propagation is extremely limited on social medium information. A method of opinion words expansion identification based on dependency parsing is presented. Through new words and phrases discovery, pruning and merger on dependency tree, the opinion words are expanded. A key advantage of the proposed method is that it can expand words in direct dependency and indirect dependency. Experiments verify the feasibility of this method.

Key words: dependency parsing, opinion words expansion, polarity analysis, public opinion

CLC Number: