Paper Title:
Building Chinese Sentiment Lexicon Based on HowNet
  Abstract

Judging the sentiment orientation of Chinese words is the basic work of the passage sentiment orientation research. Using Chinese basic sentiment words and corpus, we can identify sentiment words in the passage and expand sentiment lexicon effectively in order to improve the result of text semantic orientation analysis. With the basis of HowNet [1] sentiment words, we construct a Chinese sentiment lexicon by analyzing sentence structure and calculating the score of semantic similarity. We conduct Chinese text sentiment orientation classification experiment with this lexicon, the result shows the accuracy has achieved above 70% and obtained quite good classification effect.

  Info
Periodical
Edited by
Yanwen Wu
Pages
405-410
DOI
10.4028/www.scientific.net/AMR.187.405
Citation
Y. W. Liu, S. B. Xiao, T. Wang, S. C. Shi, "Building Chinese Sentiment Lexicon Based on HowNet", Advanced Materials Research, Vol. 187, pp. 405-410, 2011
Online since
February 2011
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$32.00
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