Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (8): 155-157.
• 网络、通信与安全 • Previous Articles Next Articles
REN Ke-qiang,ZHAO Guang-fu,ZHANG Guo-ping
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任克强,赵光甫,张国萍
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Abstract: Building weighted natural language network for the Web page is introduced in the paper，and the centrality of word combines the betweenness metric and the closeness metric.Experiments show that the words extracted have great contribution to the Web page subject.
摘要： 论述了网页文档带权语言网络的建立过程，给出了结合介数指标与紧密度指标的词语综合中心度度量方法，实验表明采用该方法的关键词抽取结果能够很好地符合网页主题。
REN Ke-qiang,ZHAO Guang-fu,ZHANG Guo-ping. Extracting keywords from Web page based on weighted natural language network[J]. Computer Engineering and Applications, 2008, 44(8): 155-157.
任克强,赵光甫,张国萍. 基于带权语言网络的网页关键词抽取[J]. 计算机工程与应用, 2008, 44(8): 155-157.
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