关键词: 文本分类, 作者写作风格, 句类, 向量空间模型, 概念层次网络（HNC）理论, 自然语言理解

Abstract: There is a lot of difference in the composition style of different authors and the difference can be discovered by features of word，sentence pattern，rhetoric etc.In this paper，sentence category features are adopted for text categorization and author recognition.This paper uses sentence category vector space model，sentence category features，mixed sentence categories dimensionality reduction，itc weighting method，KNN algorithm and integration decision method to build an authorship classifier. The performance of the authorship classifier is acceptable and can be improved by bigger knowledge base，HNC techniques and machine learning algorithm.

Key words: text classification, authorship, sentence category, Vector Space Model（VSM）, Hierarchical　Ｎｅｔｗｏｒｋ　ｏｆ　Ｃｏｎｃｅｐｔｓ（HNC） theory, ｎature ｌanguage ｐrocessing