计算机工程与应用2009，Vol.45Issue(22)：129-131,223,4.DOI:10.3778/j.issn.1002-8331.2009.22.042
基于句类特征的作者写作风格分类研究
Research on text authorship categorization based on sentence category features
摘要
Abstract
Tbere 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 roduction,ite 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 bese,HNC techniques and machine learning algorithm.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Key words
text classification/authorship/sentence category/Vector Space Model( VSM )/Hierarchical Network of Concepts( HNC )theory/nature language processing分类
计算机与自动化引用本文复制引用
张运良,朱礼军,乔晓东,张全..基于句类特征的作者写作风格分类研究[J].计算机工程与应用,2009,45(22):129-131,223,4.基金项目
国家重点基础研究发展规划(973)(the National Grand Fundamental Research 973 Program of China under Grant No.2004CB318104):国家"十一五"科技支撑计划项目资助(the National project of Scientific and Technical Supporting Programs Funded by Ministry of Science&Technology of China During the 11th Five-year Plan.No.2006BAH03B03). （973）
