%0 Journal Article
%T Self-Switching Classification Framework for Titled Documents
%A Hang Guo~
%A Li-Zhu Zhou~
%A Member
%A ACM
%A Ling Feng~
%A CCF
%A A CM
%A IEEE EMC Research China
%A Tsinghua Science Park
%A Beijing
%A China
%A <br>Hang
%A Guo
%J 计算机科学技术学报
%D 2009
%I 
%X Ambiguous words refer to words that have multiple meanings such as apple,window.In text classification they are usually removed by feature reduction methods like Information Gain.Sometimes there are too many ambiguous words in the corpus,which makes throwing away all of them not a viable option,as in the case when classifying documents from the Web.In this paper we look for a method to classify Titled documents with the help of ambiguous words.Titled documents are a kind of documents that have a simple stru...
%K text analysis
%K machine learning
%K Web text analysis<br>合一
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=A34AA0F0DB1AA072D89776D082A752AC&yid=DE12191FBD62783C&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=D9D6C3CD78BED2C5&eid=42FF82ADD37D41AA&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=18