关键词: 信息增益, 特征选择, 类内分布, 类间分布, 文本分类

Abstract: Text feature selection is the core technology of text classification. Based on the deficiency of information gain model, the IG model has been improved step by step according to the feature items distribution within the class and between the classes. A kind of optimazation of IG feature selection method based on word frequency division information is presented. The text categorization test verifies the effectiveness of the proposed optimization IG model.

Key words: information gain, feature selection, distribution within class, distribution between class, text categorization