%0 Journal Article
%T Study on Chinese Text Categorization Based on Support Vector Machine<br>基于支持向量机的中文文本自动分类研究
%A WANG Kai
%A ZHOU Jian-guo
%A XIA De-lin
%A YAN Pu-liu
%A DONG Wei-tai
%A <br>王凯
%A 周建国
%A 夏德麟
%A 晏蒲柳
%A 董伟钛
%J 计算机应用研究
%D 2005
%I 
%X First we get the feature extraction, then get the text feature sunset by using the similarity of words, last we get text categorization by using the support vector machine, the tests on the true large-scale text are made. The results show that the recall is comparatively low and the precision is comparatively high.
%K Text Categorization
%K Support Vector Machine(SVM)
%K Recall
%K Precision<br>文本分类
%K 支持向量机
%K 招回率
%K 准确率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=FA14301C276E5078&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=708DD6B15D2464E8&sid=1D0FA33DA02ABACD&eid=E84BBBDDD74F497C&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=7