United States Presidential Debates - A Machine Learning and Multivariate Purview
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 124 | Views: 388

Research Paper | Statistics | India | Volume 6 Issue 5, May 2017 | Popularity: 6.4 / 10


     

United States Presidential Debates - A Machine Learning and Multivariate Purview

Dr. T. Leo Alexander, C. Amelia Betsy


Abstract: Presidential Debate is like a Job Interview, the voters watch out for a trait in the candidates. The entire venture was done using the transcripts of all the candidates. The purpose of this paper is to highlight the significance of the topics spoken and how it affects their victory. Only explicit debates (with the moderator) from 1960 have been taken into consideration


Keywords: Candidates, CART- Classification and Regression Tree, Cluster analysis, Principal Components, Text Mining


Edition: Volume 6 Issue 5, May 2017


Pages: 817 - 822



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Dr. T. Leo Alexander, C. Amelia Betsy, "United States Presidential Debates - A Machine Learning and Multivariate Purview", International Journal of Science and Research (IJSR), Volume 6 Issue 5, May 2017, pp. 817-822, https://www.ijsr.net/getabstract.php?paperid=ART20173274, DOI: https://www.doi.org/10.21275/ART20173274

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