• DocumentCode
    1907614
  • Title

    Comparison of reaction in social media after the East Japan Great Earthquake between Thailand and Japan

  • Author

    Hashimoto, Toshikazu ; Aramvith, Supavadee ; Chauksuvanit, Teeranoot ; Shirota, Yukari

  • Author_Institution
    Chiba Univ. of Commerce, Chiba, Japan
  • fYear
    2013
  • fDate
    4-6 Sept. 2013
  • Firstpage
    781
  • Lastpage
    786
  • Abstract
    After the East Japan Great Earthquake occurred in Japan on 11th March 2011, many messages related to the earthquake were posted to social media. Especially, in Asian countries, a lot of messages about the earthquake were posted, so that different topics such as concerning about damages by the earthquake, afflicted people were observed, etc. observed. These topics can be recognized as reactions to the earthquake. Therefore, exploring topics related to the earthquake on social media in Asian countries gains a rich insight into the Asian social context. The goal of our research is to analyze Asian people reactions to the East Japan Great Earthquake on social media using data mining technique. As the first step, this paper targets Thai language and conducts the preliminary approximation to investigate topics on Thai social media. We analyze how Thai people reacted to the earthquake and compare with reactions in Japan.
  • Keywords
    behavioural sciences computing; data mining; earthquakes; natural language processing; social networking (online); Asian countries; Asian people reaction analysis; Asian social context; East Japan Great Earthquake; Japan; Thai language; Thailand; data mining technique; social media; Approximation methods; Correlation; Data mining; Earthquakes; Educational institutions; Media; Tsunami; Data Mining; East Japan Great Earthquake; Social Media; Thailand and Japan;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2013 13th International Symposium on
  • Conference_Location
    Surat Thani
  • Print_ISBN
    978-1-4673-5578-0
  • Type

    conf

  • DOI
    10.1109/ISCIT.2013.6645967
  • Filename
    6645967