%0 Journal Article
%T Method of multi-topic Web text classification based on VSM<br>基于向量空间模型的多主题Web文本分类方法
%A ZHOU Yan-tao
%A TANG Jian-bo
%A WU Zheng-guo
%A <br>周炎涛
%A 唐剑波
%A 吴正国
%J 计算机应用研究
%D 2008
%I 
%X Withdrawing characteristic vectors for a given Web page,calculating the similarities of the page characteristic vectors with classification characteristic vectors, getting dynamic thresholds through using K-means clustered methods and looking for result classifications, this paper proposed a multi-topic Web text classification method of vector space model based on dynamic threshold. Through comparing the value of every classification similarity with dynamic threshold, classifyed the multitopic texts of a Web page to several different text classifications. The simulating experiments verify the good accuracy and better recalling with this method.
%K VSM
%K text classification
%K multi-topic
%K data mining<br>向量空间模型
%K 文本分类
%K 多主题
%K 数据挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=B91D70C0C1F0B6847780DA15E53E4CC7&yid=67289AFF6305E306&vid=C5154311167311FE&iid=CA4FD0336C81A37A&sid=E22B6B8FE86DD8F9&eid=3986B25773CB6C30&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=12