| 专题新闻文本集信息可视化研究 |
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| 引用本文： | 安海忠,崔娜.专题新闻文本集信息可视化研究[J].图书情报工作,2009,53(12):117-120. |
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| 作者姓名： | 安海忠 崔娜 |
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| 作者单位： | 中国地质大学（北京） |
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| 摘 要： | 根据新闻要素说，提取专题新闻文本中的关键词并进行预处理；采用向量空间模型表示文本，运用K means算法实现文本聚类并构建关键词关联网络模型以实现文本的可视化。实例表明：该方法能直观地显示专题新闻文本集的主要信息，便于快速掌握新闻中的主体与事件的关系以及新闻关注点随时间的变化，从而加深对信息的理解，有利于信息的充分利用。
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| 关 键 词： | 信息可视化 文本信息 关联网络模型 |
| 收稿时间： | 2008-11-03 |
| 修稿时间： | 2009-03-17 |
Information Visualization of Special News Text Sets |
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| An Haizhong,Cui Na.Information Visualization of Special News Text Sets[J].Library and Information Service,2009,53(12):117-120. |
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| Authors: | An Haizhong Cui Na |
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| Institution: | Lab of Resources and Environmental Management, China University of Geosciences, Beijing 100083 |
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| Abstract: | Based on the characteristics of special news text sets,the paper extracts and preprocesses some keywords of news texts. Then texts are represented with the Vector Space Model and clustered by K means algorithm. Then the authors construct a relevance network of keywords in accordance with the processed keywords to realize the information visualization of special news text sets. An example shows that the presented approach can not only show the information and highlight the relationship between news texts but also facilitate the rapid grasp of main subjects and events and the changes of the focus as time changes, so as to enhance the understanding of information and make full use of it. |
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| Keywords: | information visualization text information relevance network |
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