Text Classification System Based on Feature Selection of Improvement Mutual Information

This paper implements and take affect a kind of text classification system based on feature selection of improvement mutual information and supporting Na(?)ve Bayes,the algorithm of improved mutual information intensify the mutual information of negative, offset the deficiency of improved mutual information arithmetic and improve elasifieation precision. Experimental results indicate that algorithm and system have better clasification precision.