LEVERAGING BIG DATA AND MACHINE LEARNING TO IDENTIFY AND FORECAST FACTORS THAT INFLUENCE THE WAR IN UKRAINE

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dc.contributor.advisorYoshida, Ruriko
dc.contributor.advisorSchuchard, Ross J.
dc.contributor.authorPolzin, Benjamin
dc.contributor.departmentOperations Research (OR)
dc.contributor.secondreaderEskew, Sean, TRAC Monterey
dc.date.accessioned2023-08-17T23:09:38Z
dc.date.available2023-08-17T23:09:38Z
dc.date.issued2023-06
dc.description.abstractMilitary analysts often rely on publicly available information from traditional news platforms and social media to gain insight on the development of international events of interest. Relying too heavily on English language sources can be detrimental to the quality of analysis, however, particularly if focusing on non-Western actors. Examining the ongoing war between Russia and Ukraine, it is hard to quickly aggregate publicly available information in Ukrainian, Russian, Persian, and other non-English languages.The Global Database of Events, Language, and Tone (GDELT) offers a potential solution, as it monitors the world’s news media in over 100 languages from every country in the world, with 65 languages being automatically translated into English. While the GDELT data collection is openly available, its size and complexity present a significant challenge in collecting, parsing, and scrubbing relevant data.This study aims to leverage the GDELT dataset to forecast important factors and actors influencing the war in Ukraine and will use extracted data and machine learning techniques to develop predictive models.en_US
dc.description.distributionstatementApproved for public release. Distribution is unlimited.en_US
dc.description.serviceMajor, German Armyen_US
dc.identifier.curriculumcode360, Operations Analysis
dc.identifier.thesisid39234
dc.identifier.urihttps://hdl.handle.net/10945/72248
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.subject.authorbig dataen_US
dc.subject.authorMLen_US
dc.subject.authormachine learningen_US
dc.subject.authorGDELTen_US
dc.subject.authorGlobal Database of Events Language and Toneen_US
dc.titleLEVERAGING BIG DATA AND MACHINE LEARNING TO IDENTIFY AND FORECAST FACTORS THAT INFLUENCE THE WAR IN UKRAINEen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
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