The Method of Text Sentiment Classification Based on Pattern Matching and Statistical Learning
Lei Zhang · Journal of Suzhou University · 2013
In order to improving the performance of Web review texts’ sentiment classification,by annlyzing the match relationship among words of review texts,a method based on pattern matching and statistics learning is proposed.In this method,the method of N-gram and match patterns of sentiment words is combined,select features from review texts,and classify the text’s sentiment by using a machine learning method.Experimental results show that compared with traditional machine learning methods,this method can effectively improve performance of text sentiment classification.