计算机与现代化 ›› 2013, Vol. 218 ›› Issue (10): 184-187,.doi: 10.3969/j.issn.1006-2475.2013.10.045

• 应用与开发 • 上一篇    下一篇

基于关键词的微博热点话题实时检测方法

]魏萌1,杨文涛2   

  1. 1.郑州师范学院信息科学与技术学院,河南郑州450044;2.郑州航空工业管理学院教务处,河南郑州450046
  • 收稿日期:2013-05-06 修回日期:1900-01-01 出版日期:2013-10-26 发布日期:2013-10-26

Real-time Detection Method of Microblog Hot Topic Based on Keywords

WEI Meng1, YANG Wen-tao2   

  1. 1. School of Information Science and Technology, Zhengzhou Normal University, Zhengzhou 450044, China; 2.Teaching Affairs Office, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou 450046, China
  • Received:2013-05-06 Revised:1900-01-01 Online:2013-10-26 Published:2013-10-26

摘要: 微博热点话题发现不仅要对微博文本以及话题识别本身进行研究,还要处理微博用户的社会关系。由于微博文本的简短和半结构化特性,传统的热点话题检测方法并不适用。本文提出基于微博关键词的热点实时检测方法,并利用微博多元数据对该方法进行修正,实验证明该方法针对微博数据的有效性。

关键词: 微博热点发现, 微博平台, 向量空间模型, 多元数据

Abstract: Main research on microblog hotspots detection focus on both the text and topic and the structural analysis of social networks. Due to short and semi-structured characteristics of microblog, the traditional hot topic detection methods isn’t suit such microblog detection. This paper proposes a microblog hot topic detection methods based on keywords, and uses the microblog multielement data to modify the method. Experiments show the effectiveness of the proposes method for microblog data.

Key words: microblog hot topic detection, microblog platform, VSM(Vector Space Model), multielement data

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