Classification approach of Chinese texts sentiment based on semantic lexicon and naive Bayesian
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TL;DR
This paper provided a new classification approach of Chinese texts based on naive Bayesian and experimental data obtained from hotel’s Chinese reviews through Internet service, demonstrating its efficiency, accuracy and robustness, which makes it applicable as well in sentiment classification for plenty ofChinese texts.
Abstract
This paper provided a new classification approach of Chinese texts based on naive Bayesian. The approach reached its goal by applying semantic lexicon on text processing and expressing,constructing sentiment classifier based on naive Bayesian and experimental data obtained from hotel’s Chinese reviews through Internet service. Backed with the experimental data, this approach demonstrates its efficiency,accuracy and robustness,which makes it applicable as well in sentiment classification for plenty of Chinese texts.