Web page classification was one of the hot study problems in the domain of Internet Search currently. Now there were the classifiers based on text and the hyperlinks.
网页自动分类是当前互联网搜索领域一个热点研究课题，目前主要有基于网页文本内容的分类和基于网页间超链接结构的分类。
Secondly, the system can distinguish the domain of the web page and understand the document at the concept level by text classification, clustering and concept extraction based machine learning.
其次，采用机器学习技术，包括文本分类、聚类，文本概念抽取，从概念层次理解文本信息；
Absrtact: Text classification is the base of information retrieval and data mining and it is widely used in web data mining and search engine.
摘要：文本分类是信息检索和数据挖掘的基础，被广泛应用于网络数据挖掘及搜索引擎等方面。
This study can be used in network information retrieve, information filter, Chinese text automatic classification, Chinese web page automatic classification and other application fields.
该研究可应用于网络信息检索、信息过滤、中文文本自动分类、中文网页自动分类等应用领域。
This paper presents a novel algorithm, which takes advantage of both hyper-link and text in the WEB pages, to mine WEB community by SVM classification.
论文结合WEB页的内容信息和超链信息给出了一种基于分类方法的WEB社群挖掘算法。
Based on web mining technology, automatic text classification has become a hot research area in the field of data mining and net mining.
文本数据分类以文本挖掘技术为基础与核心，是近年来数据挖掘和网络挖掘领域当中的一个研究热点。
On this basis, we propose a hierarchical model of text classification, then this model is applied to the Chinese web page classification, and we design and implement a prototype system.
在此基础上，本文提出了一个层次式文本分类模型，然后将此模型应用到中文网页分类这一实际问题中，设计并实现了一个原型系统。
On this basis, we propose a hierarchical model of text classification, then this model is applied to the Chinese web page classification, and we design and implement a prototype system.
在此基础上，本文提出了一个层次式文本分类模型，然后将此模型应用到中文网页分类这一实际问题中，设计并实现了一个原型系统。
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