In the field of Text Categorization,the common used feature selection methods such as the document frequency are based on probability and statistics.In this paper,from a brand new perspective,we select features base on cognitive and semantic framework.This method can grasp the characteristics of the classification accurately,which can improve the classification accuracy and efficiency.Because the classification method using machine learning have gained widely attention and usage,we use maximum entropy class...