The census of consensus: big data in international relations

	dc.contributor	Rodríguez Rodríguez, Fernando Javier
	dc.creator	Taylor Traynham, Dave Mason
Fecha Ingreso	dc.date.accessioned	2021-10-18T15:41:32Z
Fecha Disponible	dc.date.available	2021-10-18T15:41:32Z
Fecha en Repositorio	dc.date.issued	2021-10-18
Resumen	dc.description	<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>
Resumen	dc.description	last modification
Resumen	dc.description	Magíster en Relaciones Internacionales
Resumen	dc.description	MAGISTER EN RELACIONES INTERNACIONALES
Resumen	dc.description	<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>
Formato	dc.format	PDF
Lenguaje	dc.language	eng
	dc.rights	sin documento
	dc.source	http://opac.pucv.cl/pucv_txt/txt-4000/UCD4490_01.pdf
Materia	dc.subject	Relaciones Internacionales
Materia	dc.subject	Análisis de datos
Materia	dc.subject	INVESTIGACION CUANTITATIVA
Title	dc.title	The census of consensus: big data in international relations
Tipo	dc.type	texto