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

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Research Paper | Statistics | India | Volume 6 Issue 5, May 2017

United States Presidential Debates - A Machine Learning and Multivariate Purview

Dr. T. Leo Alexander, C. Amelia Betsy

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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How to Cite this Article?

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

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