文本过滤中的特征选择

Feature Selection Method in Text Filtering

在对目前常用的特征选择算法进行分析的基础上,提出了适用于文本过滤的特征选择模型,很好地解决了文本过滤中的"不平衡数据问题"。经实验验证,这两个模型可以很好地选择出有代表性的特征,提高了文本过滤的精度。

This paper presents a new feature selection model in text filtering on the analysis of present feature selection methods, which can resolve the imbalanced data problem. Simulation results demonstrated that the proposed method can improve the precision of text filtering.