• DocumentCode
    639067
  • Title

    Visual event mining from geo-tweet photos

  • Author

    Kaneko, Tetsuya ; Yanai, Katsuki

  • Author_Institution
    Dept. of Inf., Univ. of Electro-Commun., Chofu, Japan
  • fYear
    2013
  • fDate
    15-19 July 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we propose a system to mine events visually from the Twitter stream by making use of “geo-tweet photos” which are tweets including both geotags and photos. Some works on event mining which utilize geotagged tweets have been proposed so far. However, they used no images but only textual analysis of tweet texts. In this work, we detect events using visual information as well as textual information. In the experiments, we show some examples of detected events and their photos such as “rainbow”, “fireworks” and “Tokyo firefly festival”.
  • Keywords
    data mining; social networking (online); text analysis; Twitter stream; events detection; geo-tweet photos; geotagged tweets; textual analysis; textual information; tweet texts; visual event mining; visual information; Compounds; Equations; Event detection; Indexes; Twitter; Typhoons; Visualization; Event Mining; Geo-Photo Tweet; Geotagged Images; Twitter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/ICMEW.2013.6618407
  • Filename
    6618407