Paper Title:
Identifying the Sentiment in Domain-Independent Chinese Sentences
  Abstract

This paper describes a system that can automatically extract the topics from subjective Chinese sentences and identify their emotional tendencies. In the topic identification phase, the system bases on the dictionary containing the emotional words, dependency grammar and statistical pattern to identify the topic. In the sentiment identification phase, the system bases on the modifying relationship between the adverbs, negation words and emotional words to identify the emotional tendency. Finally, we choose a large number of Chinese sentences as our benchmarks to evaluate the system’s performance, analyze its error rate and propose directions for our future improvements.

  Info
Periodical
Advanced Materials Research (Volumes 217-218)
Edited by
Zhou Mark
Pages
808-811
DOI
10.4028/www.scientific.net/AMR.217-218.808
Citation
M. W. Si, M. C. Su, J. Y. Wang, "Identifying the Sentiment in Domain-Independent Chinese Sentences", Advanced Materials Research, Vols. 217-218, pp. 808-811, 2011
Online since
March 2011
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Price
$32.00
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