An integrated method for micro-blog subjective sentence identification based on three-way decisions and naive bayes

Abstract

Microblog's subjective sentence recognition is the basis of it's public opinion analysis further research.Therefore, its recognition accuracy is crucial for future research work. Owing to the imprecision or incomplete of information, the precision of traditional SVM, NB and other machine learning algorithms that for microblog's subjective sentence recognition is not ideal. Presents a method based on the integrated of three-way decision and Bayesian algorithms to distinguish microblog's subjective sentence. Compared with traditional Bayesian algorithms, Experimental results show that the proposed integrated approach can significantly improve the accuracy of subjective sentence's recognition.