• DocumentCode
    3132971
  • Title

    Analysis of speech transcripts to predict winners of U.S. Presidential and Vice-Presidential debates

  • Author

    Kaplan, Ilan ; Rosenberg, Andrew

  • Author_Institution
    Bronx High Sch. of Sci., Bronx, NY, USA
  • fYear
    2012
  • fDate
    2-5 Dec. 2012
  • Firstpage
    449
  • Lastpage
    454
  • Abstract
    In this paper, we describe investigations into the speech used in American Presidential and Vice-Presidential debates. We explore possible transcript-based features that may correlate with personally appealing or politically persuasive language. We identify, with chi-squared analysis, features that correlate with success in the debates. We find that with a set of surface-level features from historical debates, we can predict the winners of presidential debates with success moderately above chance.
  • Keywords
    politics; speech processing; American Presidential debates; US Presidential debates; US Vice-Presidential debates; Vice-Presidential debates; chi-squared analysis; historical debates; personally appealing language; politically persuasive language; speech transcript-based features; surface-level features; Accuracy; Feature extraction; Materials; Nominations and elections; Speech; Training; Vectors; political speech; speech analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spoken Language Technology Workshop (SLT), 2012 IEEE
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4673-5125-6
  • Electronic_ISBN
    978-1-4673-5124-9
  • Type

    conf

  • DOI
    10.1109/SLT.2012.6424266
  • Filename
    6424266