| 一种改进的web文档关键词权重计算方法 |
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| 引用本文： | 孙双,贺樑,杨静,顾君忠.一种改进的web文档关键词权重计算方法[J].上海大学学报(英文版),2008,12(3):235-239. |
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| 作者姓名： | 孙双 贺樑 杨静 顾君忠 |
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| 作者单位： | SUN Shuang（Institute of Computer Applications, East China Normal University, Shanghai 200062, P. R. China）
HE Liang（Institute of Computer Applications, East China Normal University, Shanghai 200062, P. R. China）
YANG Jing（Institute of Computer Applications, East China Normal University, Shanghai 200062, P. R. China）
GU Jun-zhong（Institute of Computer Applications, East China Normal University, Shanghai 200062, P. R. China） |
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| 摘 要： |
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| 关 键 词： | improved vector space model (IVSM) representation feature feature item keyword weight semantic similarity 改进 文档 关键词 权重 计算方法 keywords weighting semantic similarity results accuracy time performance features item selection calculation Four experiments real system improved algorithm |
| 收稿时间： | 2007-06-22 |
| 修稿时间： | 2007年6月22日 |
An improved algorithm for weighting keywords in web documents |
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| Shuang Sun,Liang He,Jing Yang,Jun-zhong Gu.An improved algorithm for weighting keywords in web documents[J].Journal of Shanghai University(English Edition),2008,12(3):235-239. |
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| Authors: | Shuang Sun Liang He Jing Yang Jun-zhong Gu |
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| Institution: | Institute of Computer Applications, East China Normal University, Shanghai 200062, P. R. China |
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| Abstract: | In this paper, an improved algorithm, web-based keyword weight algorithm (WKWA), is presented to weight keywords in web documents. WKWA takes into account representation features of web documents and advantages of the TF*IDF, TFC and ITC algorithms in order to make it more appropriate for web documents. Meanwhile, the presented algorithm is applied to improved vector space model (IVSM). A real system has been implemented for calculating semantic similarities of web documents. Four experiments have been carried out. They are keyword weight calculation, feature item selection, semantic similarity calculation, and WKWA time performance. The results demonstrate accuracy of keyword weight, and semantic similarity is improved. |
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| Keywords: | improved vector space model (IVSM) representation feature feature item keyword weight semantic similarity |
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