Improved feature selection method and TF-IDF formula based on word frequency differentia
Yan Pu-liu · Jisuanji gongcheng · 2005
The vectorization of documents affects the speed and accuracy of text categorization greatly.The most common used formulas: TF-IDF,MI,and IG were analyzed.The method of feature selection based on word frequency differentia was proposed and TF-IDF formula was modified to improve the quality of feature selection,the speed and accuracy of categorization.