| 基于分类的中文微博热点话题发现方法研究 |
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| 引用本文： | 郑飞,张蕾.基于分类的中文微博热点话题发现方法研究[J].信息网络安全,2014(9):127-131. |
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| 作者姓名： | 郑飞 张蕾 |
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| 作者单位： | 上海市公安局,上海200025 |
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| 摘 要： | 智能手机和微博客户端强化了微博的媒体特性，实时发现微博话题具有现实意义。文章提出了一种基于关键字分类的中文微博热点话题发现方法，通过关键字对微博信息进行筛选和归类，以时间窗内词频和增长速度构造赋权函数提取主题词，词汇的同文本条件概率作为相似度判定依据，基于改进的单遍聚类算法进行主题词聚类。对系统运行结果分析表明，该方法可以实时有效地聚类发现微博热点话题。
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| 关 键 词： | 分类 微博 话题发现 聚类 |
Classiifcation-based Hot Topic Detection Approach on Chinese Micro-blog |
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| ZHENG Fei,ZHANG Lei.Classiifcation-based Hot Topic Detection Approach on Chinese Micro-blog[J].Netinfo Security,2014(9):127-131. |
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| Authors: | ZHENG Fei ZHANG Lei |
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| Affiliation: | (Shanghai Bureau of Public Security, Shanghai 200025, China) |
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| Abstract: | Smart-phones and micro-blog client reinforce the micro-blog media features. Therefore, Micro-blog hot topic real-time detection can provide valuable research results in relevant ifelds. The paper introduces a real-time hot micro-blog topic detection method based on keywords classiifcation. Filtered micro-blog messages were classiifed according to keywords. A multi-weight function based on the word frequency and growth in the time window was used to extract the key words of micro-blog information. An improved single-pass clustering algorithm based on same-text conditional probability was used to ifnd the micro-blog hot topic. The results show that the approach is effect in clustering micro-blog hot topic in real time. |
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| Keywords: | classiifcation micro-blog topic detection clustering |
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