| 一种利用BC方法的关键词自动提取算法研究 |
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| 引用本文： | 张敏,耿焕同,王煦法. 一种利用BC方法的关键词自动提取算法研究[J]. 小型微型计算机系统, 2007, 28(1): 189-192 |
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| 作者姓名： | 张敏 耿焕同 王煦法 |
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| 作者单位： | 中国科学技术大学,计算机科学与技术系,安徽,合肥,230027 |
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| 摘 要： | 通过分析几种常见关键词自动抽取方法的特点和不足，以KeyGraph算法思想为基础，构建词语网络并利用网络节点中心度（Betweenness Centrality）理论，提出了一种新的自动抽取关键词算法．通过分析和比较，新算法提取的关键词更能体现文档内容，并且相对低频而意义重要的关键词也能被提取出．最后，通过与TF和TFIDF算法的比较和分析，获得了令人满意的结果．
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| 关 键 词： | 抽取 中心度 词语网络 社会网络 |
| 文章编号： | 1000-1220（2007）01-0189-04 |
| 修稿时间： | 2005-10-10 |
Automatic Keyword Extraction Algorithm Research Using BC Method |
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| ZHANG Min,GENG Huan-tong,WANG Xu-fa. Automatic Keyword Extraction Algorithm Research Using BC Method[J]. Mini-micro Systems, 2007, 28(1): 189-192 |
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| Authors: | ZHANG Min GENG Huan-tong WANG Xu-fa |
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| Affiliation: | Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230037 ,China |
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| Abstract: | In this paper, the characteristics and disadvantages of several common automatic keyword extraction methods are introduced firstly. Then based on the ideas of KeyGraph algorithm, a new automatic keyword extraction method is proposed. After analysing and comparisons, the advantages of the new algorithm are revealedz the extracted words can represent more information of the document content, and the low frequent but important terms can also be extracted. Compared with the classic TF and TFIDF algorithms, a satisfying result has been gotten from the experiment and analvsis. |
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| Keywords: | keyword extraetion betweenness eentrality term network social network |
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