| Research on Web Page Automatic Classification Based on Internet News Corpus |
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| 作者姓名： | 蔡巍 王永成 尹中航 |
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| 摘 要： | Web pages contain more abundant contents than pure text ,such as hyperlinks,html tags and metadata et al.So that Web page categorization is different from pure text. According to Internet Chinese news pages, a practical algorithm for extracting subject concepts from web page without thesaurus was proposed, when incorporated these category-subject concepts into knowledge base, Web pages was classified by hybrid algorithm, with experiment corpus extracting from Xinhua net. Experimental result shows that the categorization performance is improved using Web page feature.
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Research on Web Page Automatic Classification Based on Internet News Corpus |
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| CAI Wei,WANG Yong-cheng,YIN Zhong-hang,.Research on Web Page Automatic Classification Based on Internet News Corpus[J].Journal of Shanghai Jiaotong university,2007,12(6):731-735. |
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| Authors: | CAI Wei WANG Yong-cheng YIN Zhong-hang |
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| Abstract: | Web pages contain more abundant contents than pure text ,such as hyperlinks,html tags and metadata et al.So that Web page categorization is different from pure text. According to Internet Chinese news pages, a practical algorithm for extracting subject concepts from web page without thesaurus was proposed, when incorporated these category-subject concepts into knowledge base, Web pages was classified by hybrid algorithm, with experiment corpus extracting from Xinhua net. Experimental result shows that the categorization performance is improved using Web page feature. |
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| Keywords: | automatic classification Web pages subject extraction |
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