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A Method of Chinese Texts Sentiment Classification Based on Bayesian Algorithm

In this paper, the author did the sentiment classification experiment with Chinese hotel reviews from internet based on semantic lexicon and Naive Bayesian. Many experiments have shown the method in order to improve the accuracy of sentiment classification, and time shortened of text processing, the method can also be used in fast sentiment classification for mass data of Chinese texts.