Research on Sentiment Classification of Chinese Reviews Based on Supervised Machine Learning Techniques
Xueqi Cheng · Zhongwen xinxi xuebao · 2007
Sentiment classification is an applied technology with great significance.It can solve information disorder and help people locate the required reviews in the Internet.Up to now,most research of sentiment classification is on English reviews,and little work has been done on Chinese reviews.To find an effective way for the task based on supervised machine learning method,and analyze the influence by term expression and term selection,this paper conducted some experiments under distinct environments,including different feature representation,different feature selection,different categorization technique,different size of features and different size of training data,over Chinese text collections.The experimental results show that sentiment classification will obtain high performance,when using bigrams representation,information gain and SVM classifier,enough training data and plenty of features.