• DocumentCode
    2839215
  • Title

    Identifying the Relevance of Social Issues to a Target

  • Author

    Han, Soyeon Caren ; Kang, Byeong Ho

  • Author_Institution
    Sch. of Comput. & Inf. Syst., Univ. of Tasmania, Sandy Bay, TAS, Australia
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    666
  • Lastpage
    667
  • Abstract
    Responding to social issues is very crucial because their impact can be significant to organizations or individuals. In this paper, we focus on proposing the method that identifies the personalized relevance of social issues to targets, such as individuals or organizations. To achieve this aim, we first collected trending social issues from Google Trends, microblog, and Internet news. Then, we obtained the well-structured document management system as a target domain that contains all activities regarding target objects. We applied the Term Frequency Inverse Document Frequency to obtain the personalized relevance weight of the social issue to a target.
  • Keywords
    document handling; search engines; social networking (online); social sciences computing; Google Trends; Internet news; document management system; individual; microblog; organization; personalized relevance; social issue relevance identification; target domain; target object; term frequency inverse document frequency; Australia; Blogs; Educational institutions; Google; Information systems; Organizations; Standards; Google Trends; Social Issues; Trending Topic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2012 IEEE 19th International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4673-2131-0
  • Type

    conf

  • DOI
    10.1109/ICWS.2012.102
  • Filename
    6257947