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
Link To Document :
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