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
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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