• DocumentCode
    3735582
  • Title

    TrendMiner: Large-scale analysis of political attitudes in public facebook messages

  • Author

    M?rton Mih?ltz;Tam?s V?radi

  • Author_Institution
    Research Institute for Linguistics, Hungarian Academy of Sciences, Bencz?r utca 33, H-1068, Budapest, Hungary
  • fYear
    2015
  • Firstpage
    265
  • Lastpage
    265
  • Abstract
    This paper presents the methods and results of a project that collects and analyses public comments written in response to political posts on Facebook using natural language processing and social psychological methods in order to explore emotional attitudes and social behavior.
  • Keywords
    "Facebook","Natural language processing","Psychology","Standards organizations","Organizations","Nominations and elections","Media"
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Infocommunications (CogInfoCom), 2015 6th IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CogInfoCom.2015.7390601
  • Filename
    7390601
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3735582