<p>For some time, the field of international relations has been relegated to that which is qualitative. This study looks to improve upon the situation, providing a quantitative methodology for one subsection of international relations. Specifically, the study encompasses the use of computer software in the field of big data analysis in conjunction with text mining to expand upon a proven semi-quantitative model provided by Goldstone et al. for predicting instability events in a given country. First, the hypothesis that it is possible to use textual analysis to identify patterns leading towards instability events is tested with publicly available datasets for a specific case. The methodology for analyzing this case is discussed, and the study goes on to explain how to analyze such datasets for future cases. The results are then given, and the paperconcludes with closing remarks and areas for further expansion</p>
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Magíster en Relaciones Internacionales
MAGISTER EN RELACIONES INTERNACIONALES
<p>For some time, the field of international relations has been relegated to that which is qualitative. This study looks to improve upon the situation, providing a quantitative methodology for one subsection of international relations. Specifically, the study encompasses the use of computer software in the field of big data analysis in conjunction with text mining to expand upon a proven semi-quantitative model provided by Goldstone et al. for predicting instability events in a given country. First, the hypothesis that it is possible to use textual analysis to identify patterns leading towards instability events is tested with publicly available datasets for a specific case. The methodology for analyzing this case is discussed, and the study goes on to explain how to analyze such datasets for future cases. The results are then given, and the paperconcludes with closing remarks and areas for further expansion</p>