A Method of Building Chinese Sentiment Lexicon Based on Semantics

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Abstract:

A method was proposed to build a Chinese sentiment lexicon based on semantics. Sentiment intensity of the word was automatically calculated by decomposing it into multiple English semantic units (Esu). A lexicon proofreading method was used to optimize the sentiment intensity of words. The proposed lexicon was applied to the task of sentiment analysis, in which the method of support vector machine was used to build the sentiment classifier. The experiment results shown that the built sentiment lexicon was more effective than the general polar sentiment lexicon.

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263-270

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July 2014

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