摘要
文本自动分类系统是信息处理的重要研究方向,在文献检索、信息过滤和文本管理等领域中有着广泛的应用。介绍了一种基于模糊模式识别以及向量空间模型提取特征向量的中文文本分类器的设计与实现。
The text auto-categorizing system, which is an important research direction of the information processing, has been widely used in the document retrieval, information filtration, and text management, etc. This paper introduces the design and implementation of the Chinese text categorizer based on the fuzzy recognition and the extraction of the characteristic vector with the vector space model.
出处
《科技情报开发与经济》
2005年第16期228-230,共3页
Sci-Tech Information Development & Economy
关键词
文本分类器
模糊模式识别
特征向量
贴近度
text categorizer
fuzzy recognition
characteristic vector
closeness
