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acknowledged. Computing the Sentiment Polarity of Chinese Words and Sentences

By Yejun Wu and Douglas W. OardYejun Wu and Douglas W. Oard


This paper reports on experiments with a newly available sentiment classification test collection for Chinese. Detection of negation during training and classification is shown to improve the accuracy of character-based classification for the semantic orientation of individual Chinese words. Using the resulting classifier for unknown words resulted in substantial improvements in classification accuracy for positively and negatively opinionated sentences

Topics: sentiment polarity, Chinese words, Chinese sentences
Year: 2007
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