Text Feature Selection Method Based on Improved TFIDF
Analyzes several common evaluation functions for feature selection,then applies the terms weight function in feature selection,proposes a new evaluation function based on improved TFIDF method called TFIDF-Dac.In order to show the ability of separating from categories,introduces the distribution information between categories of feature item in this new method and it made up the disadvantages of the traditional TFIDF.Experiments have proved that the improved feature selection method can effectively improve the precision of the text categorization result.