Analysis and Computing of Association Degree of SMS Feature Words

机译：短信特征词关联度的分析与计算

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摘要

How to judge the relationship between mobile short messages is the key technology of mobile short message topic detection. The characteristics of the mobile SMS text are discussed in this paper, and the association of different SMS topic feature words is analyzed. Then a computing method of the association degree between different SMS feature words is proposed, which is based on leverage formula. The experimental results show that this method can effectively calculate the association degrees between SMS feature words, which could help to extract hot topics in corpus of a mess of short messages.

机译：如何判断移动短消息之间的关系是移动短消息主题检测的关键技术。本文讨论了移动SMS文本的特征，分析了不同的SMS主题特征词的关联。然后提出了一种计算方法，其在不同SMS特征词之间的关联程度，基于利用公式。实验结果表明，该方法可以有效地计算短信之间的关联度，这有助于提取短消息的混乱语料库中的热门话题。

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《International Conference on Networking and Services》|2009年||共4页
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作者
Qindong Sun; Hongli Qiao; Nan Wang;
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原文格式 PDF
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中图分类 TP393-53;
关键词
Mobile short message; Association degree; Feature word;

机译：手机短信;协会学位;功能词;

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Analysis and Computing of Association Degree of SMS Feature Words

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