中文网页自动分类系统研究  

A Research of Chinese Web Page Automatic Categorization System

作　　者：廖文军[1] 叶喜民[2] LIAO Wen-jun, YE Xi-min （ 1. Network Center, Xinxiang University, Xinxiang 453003, China; 2. Computer Science Department, Xinxiang University, Xinxiang 453003, China）

机构地区：[1]新乡学院网络中心,河南新乡453003 [2]新乡学院计算机科学系,河南新乡453003

出　　处：《新乡师范高等专科学校学报》2007年第2期67-69,共3页Journal of Xinxiang Teachers College

摘　　要：给出了一个网页自动分类系统的设计，讨论了预处理、批量训练、特征选择等模块的设计过程。本系统采用空间向量模型作为分类模型，在分类开始前对网页信息进行了预处理。A web information in the Chinese web page automatic categorization system is importment for us. A web page automatic categorization system was presented in this paper. It introduces the main module of the system including preprocessing batch training and feature selection. This system uses vector space model as the classification model. Before the classification, we do some preprocessing to improve the efficency of the classification.

关 键 词：网页 文本分类 向量空间模型(VSM) 中文信息处理 

分 类 号：TP39[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]