Abstract: This paper presents a Chinese-text classifier based on vector space model. Some key techniques implemented in this classifier, such as feature extraction, dimension reduction, hierarchical classification and classifier training, are discussed in details. As experiment results show, the developed system can reach both high precision and high recall on average.

摘要： 介绍了一个基于向量空间模型的中文文本自动分类系统，重点阐述了特征提取、空间降维、层次分类和分类器训练等技术的实现方法。实践表明：该系统对文本分类具有较高的平均查全率和平均精度。

关键词: 文本分类, 中文文本, 向量空间模型, 特征提取

CLC Number: 

• TP391.1