• DocumentCode
    571599
  • Title

    A Research of Hot Topic Detection through Microblogging

  • Author

    Feifei Peng ; Xu Qian ; Gaoren Li

  • Author_Institution
    Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
  • Volume
    1
  • fYear
    2012
  • fDate
    26-27 Aug. 2012
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    Micro-blog is one of the internet applications, and it is newly developed online communication platform to achieve real-time information sharing. Micro-blog becomes quite popular. We analysis the researched approach of detecting hot topic, combine with a variety of related parameters of hot topic, and implement the detection of hot topic through Micro-blog. This paper presents a hot topic detection and extraction algorithm based on users´ preference. The experimental results show that the approach can effectively detect hot topic in the Micro-blog, and can effectively remove the false hot topic which have ambiguous information.
  • Keywords
    Internet; Web sites; Internet applications; hot topic detection; hot topic extraction algorithm; microblogging; online communication platform; realtime information sharing; user preference; Accuracy; Algorithm design and analysis; Clustering algorithms; Correlation; Educational institutions; Internet; Real time systems; complete negative correlation; mash-up; pearson correlation coefficient; user preferences; weight factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
  • Conference_Location
    Nanchang, Jiangxi
  • Print_ISBN
    978-1-4673-1902-7
  • Type

    conf

  • DOI
    10.1109/IHMSC.2012.53
  • Filename
    6305657