• DocumentCode
    50203
  • Title

    Using Twitter Sentiment to Forecast the 2013 Pakistani Election and the 2014 Indian Election

  • Author

    Kagan, Vadim ; Stevens, Andrew ; Subrahmanian, V.S.

  • Volume
    30
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan.-Feb. 2015
  • Firstpage
    2
  • Lastpage
    5
  • Abstract
    This column discusses the authors´ efforts to project the winner of the 2013 Pakistan and the 2014 Indian prime minister election using social network analysis and methods to create a diffusion estimation model.
  • Keywords
    politics; social networking (online); 2013 Pakistani election; 2014 indian election; Twitter sentiment; diffusion estimation model; social network analysis; Computational modeling; Data models; Electronic voting; Forecasting; Predictive models; Sentiment analysis; Twitter; Voting; campaign; diffusion estimation model; election forecasting; sentiment analysis; social media; social network analysis;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2015.16
  • Filename
    7030167
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=50203