中文文本分类方法比较研究

A Comparison Study of Chinese Text Categorization

中文文本分类是中文信息处理过程中的关键技术。本文介绍了中文文本分类的基本过程和基本原理,讨论了朴素贝叶斯(NB)、K-最近邻(KNN)、支持向量机(SVM)这三种中文文本分类方法,并对这三种分类方法进行分析和比较。

Chinese text categorization is a key technique in Chinese Information processing. The basic process and principles of Chinese text categorization are presented. And three widely applied methods, such as Naive Bayes （NB）, K-nearest neighbor （KNN） and Support vector machines （SVM）, are discussed and analyzed by comparison in this paper.