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基于综合权重的多文档关键词抽取算法
引用本文:胡志敏.基于综合权重的多文档关键词抽取算法[J].计算机与数字工程,2010,38(6):45-48.
作者姓名:胡志敏
作者单位:湖南城建职业技术学院信息工程系,湘潭,411101
摘    要:多文档关键词抽取是进行在多篇文献中找出最能反映整体主题的关键词。对几种关键词抽取算法进行了介绍,分析了各自的优缺点,在TF/PDF算法的基础上,采用文献内和文献间综合权重的方法,提出了一种基于综合权重的多

关 键 词:抽取算法ITF/PDF。将ITF/PDF的抽取结果与TF/PDF抽取结果进行了比较  实验结果表明  ITF/PDF能够更准确的在多文档中抽取合适的关键词。关键词多文档  关键词  抽取  综合权重

Multi-document Keywords Extraction Algorithm Based on Integrated Weights
Hu Zhimin.Multi-document Keywords Extraction Algorithm Based on Integrated Weights[J].Computer and Digital Engineering,2010,38(6):45-48.
Authors:Hu Zhimin
Affiliation:Hu Zhimin(Department of Information Engineering,Hunan Urban Construction College,Xiangtan 411101)
Abstract:Multi-document keywords extraction is carried out in many articles in the literature to identify best to reflect the overall theme of the keywords.Extraction algorithm for several keywords were introduced to analyze their respective advantages and disadvantages,in the TF/PDF algorithm,based on the use of literature and literature within a comprehensive inter-weighting method,presents a weight based on an integrated multi-document keywords extraction algorithm ITF/PDF.The ITF/PDF extraction results with TF/PDF extraction results were compared with experimental results show that,ITF/PDF can be more accurate in a multi-document extract the appropriate keywords.
Keywords:multi-document  keywords  extraction  comprehensive weight
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