%0 Journal Article
%T Web-page topical feature extraction for Web-page classification<br>面向分类的网页主题特征提取*
%A LIU Jian
%A SUN Peng
%A NI Hong
%A <br>刘建
%A 孙鹏
%A 倪宏
%J 计算机应用研究
%D 2010
%I 
%X This paper presented a method that identifies the topical correlativity of one node based on the spatial features, vi-sual features and content features of the page, quantitatively described the different degree of importance of the content, and extracted the topical features through the hybrid weighting method. Experimental results show that Web-page classification based on the extracted page features has better effect compared to the traditional FullDoc text classification.
%K Webpage classification
%K topical features
%K topical correlativity<br>网页分类
%K 主题特征
%K 主题相关性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A904E6057586CFDEABC3DF3917948DCB&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=3E5F20810F9D9441&eid=1ECE6F4ED6C2DF66&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15