Study on the Method of Feature Selection Based on Hybrid Model for Text Classification

Abstract

In this paper, we study on the problem of how to combine feature selection models in text classification ,and present a method through build the hybrid model for feature selection ,this hybrid model combined with advantage of four feature selection models (DF,MI, IG, CHI), then we use the Naive Bayes model as classifier to verify the effect of the hybrid feature selelction model ,and experiments shows that the hybrid model is correct and effective and get good performance in text classification.