中文文本分类中基于词性的特征提取方法研究

Research of Feature Extraction Methods Based on Part of Speech in Chinese Documents Classification

在介绍常用的文本分类中特征词提取方法的基础上,提出了一种全新的,适用于中文文本分类的特征提取方法———基于词性的特征提取方法,实验结果显示,这种基于词性的特征提取方法在提高特征提取效率和降低特征向量维数方面都有显著改善。

The feature selection based on part of speech, a novel method adapting better to Chinese document classification, is proposed in this paper. This method can improve the efficiency of feature selection and reduce the dimensions of the feature vector.