A Nonnegative Analysis of Politics

Citation data:

Math Horizons, Vol: 47, Issue: 7

Publication Year:
2011
Usage 50
Downloads 40
Abstract Views 10
Repository URL:
https://cupola.gettysburg.edu/mathfac/25
Author(s):
Chartier, Tim; Wessell, Charles D.
Tags:
Presidential elections; political party; data clustering; American Politics; Applied Mathematics; Mathematics; Numerical Analysis and Computation; Political Science
article description
The article investigates how linear algebra can recover mathematical information from the electronic messages using the Enron Email Sets in Pennsylvania. It states that a term-by-email matrix has been created to cluster algorithm, which allows one to mine through data and discover meaning. Moreover, nonnegative matrix factorization (NMF) enables one to interpret the resulting factorization in terms of the original problem.