| 基于内容分析的报道关系识别方法研究 |
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| 引用本文： | 王凤玲.基于内容分析的报道关系识别方法研究[J].西藏大学学报,2012(2):71-75,87. |
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| 作者姓名： | 王凤玲 |
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| 作者单位： | 菏泽学院,山东菏泽274015 |
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| 摘 要： | 话题检测与跟踪是当前自然语言处理领域的一个研究热点，而报道关系识别是其中的一项基础研究内容。为了得到高性能的报道关系识别算法，必须充分挖掘新闻报道中包含的信息。文章在分析了英语新闻报道书写特点的基础上，提出了基于内容分析的报道关系识别算法，算法中将新闻报道表示成两个向量空间模型。实验结果表明，文章提出的基于内容分析的报道关系识别算法不但简单易行，并能大大改进报道关系识别的性能。
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| 关 键 词： | 话题检测与跟踪 报道关系识别 内容分析 错误检测开销 |
Research on the method of story linked detection based on content analysis |
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| Wang Feng-ling.Research on the method of story linked detection based on content analysis[J].Journal of Tibet University,2012(2):71-75,87. |
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| Authors: | Wang Feng-ling |
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| Institution: | Wang Feng-ling (Computer ＆ Information Engineering Department, Heze University, Heze 274015, Shandong) |
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| Abstract: | The topic detection and tracking has become research hot sports in the natural language processing field, and the story linked detection is one of the research fields, It is necessary to fully mine all information in the story in order to obtain a successful story linked detection algorithm. Based on the analysis of lots of English news report a content analysis-based story linked detection algorithm was proposed and the news report was expressed by two vector space model in this algorithm. The results showed that content analysis based story linked detection algorithm is not only simple but also can greatly improve the performance of the story linked detection. |
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| Keywords: | Topic detection and tracking Story linked detection Content analysis Detection error cost |
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