%0 Journal Article
%T Research on Fast Text Classifier Based on New Keywords Extraction Method<br>基于新的关键词提取方法的快速文本分类系统
%A LUO Jie
%A CHEN Li
%A XIA De-lin
%A WANG Kai
%A <br>罗杰
%A 陈力
%A 夏德麟
%A 王凯
%J 计算机应用研究
%D 2006
%I 
%X Keyword extraction is the sticking point for Automatic Classification and Text Data Mining Application. Taking traits of nature language into consideration, this paper provides a new way called Fast Segmentation (FS) which is based on verb, virtual words and stop words to improve traditional segmentation technique. Then, we filter result of FS by TFIDF3] Algorithm so that we can classify Web text fast and efficiently. The experiment has indicated that without reducing the correct rate of classification, the speed of processing has improved distinctly.
%K Computer Application
%K Nature Language Processing
%K Keyword Extraction
%K Web Text Classification<br>计算机应用
%K 中文信息处理
%K 关键词提取
%K Web文档分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=82D9548E280F2A9F&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=E158A972A605785F&sid=9971A5E270697F23&eid=339D79302DF62549&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=7&reference_num=10