A Method of Chinese Texts Sentiment Classification Based on Bayesian Algorithm

Ai Min Yang; Yong Mei Zhou; Jiang Hao Lin

doi:10.4028/www.scientific.net/AMM.263-266.2185

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266A Method of Chinese Texts Sentiment Classification...

A Method of Chinese Texts Sentiment Classification Based on Bayesian Algorithm

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2185-2190

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2185

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Online since:

December 2012

Authors:

Ai Min Yang, Yong Mei Zhou, Jiang Hao Lin

Keywords:

Naive Bayesian, Semantic Lexicon, Text Sentiment Classification

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