Research on tendency classification algorithm for online movie comment
Xuejiao Kang, Moe Key · Computer Engineering and Applications Journal · 2011
The research on online comments can promptly understand the public’s attitudes and mental states to current events and hot topics,so it can provide basis for the decision-making for the relative fields.In this paper,an algorithm based on extension of network words and feature selection is proposed to solve the tendency of online movie comments.The garbage comments are eliminated using relevancy measurement,and then features are extended according to the characteristics of online comments.The features are selected for classification based on frequency of words and information gain.The results show that after using this method,the accuracy and other indexes of classification are improved.