Sentiment classification of Chinese online reviews: a comparison of factors influencing performances

2014 ◽  
Vol 10 (2) ◽  
pp. 228-244 ◽  
Author(s):  
Hongwei Wang ◽  
Lijuan Zheng

This paper discusses an efficient algorithm for sentiment classification of online text reviews posted in social networking sites and blogs which are mostly in unstructured and ungrammatical in nature. Model proposed in this paper utilizes support vector machine supervised learning algorithm and fuzzy inference system for enhancing the degree of sentiment polarity of text reviews and providing multilevel polarity categories. Model is also able to predict degree of sentiment polarity of online reviews. The model accuracy is validated on twitter data set and compared with another earlier model.


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