A Glimpse to Turkish Political Climate with Statistical Machine Learning

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dc.contributor.authorCetin, Uzay
dc.contributor.authorGundogmus, Yunus Emre
dc.date.accessioned2024-07-18T20:52:06Z
dc.date.available2024-07-18T20:52:06Z
dc.date.issued2018
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEGen_US
dc.description.abstractIn this study, we conduct a data-driven study to harvest the decision makers' policy orientation and predict their votes. We collect and analyze the data about the opinion of the individual voters on a variety of political issues related to Turkish politics. Based on this data, we can measure which parties are close and which parties are distant in multi-dimensional political space. We can make a glimpse to what social matters shape the Turkish political climate with the lenses of statistical models. We show in which political issues Turkish people agree on the most and in which political issues they are segregated the most. Moreover, by using traditional machine learning tools, we try to predict the vote of an individual, depending on his or her opinion about the pre-determined political issues with the help of our data.en_US
dc.description.sponsorshipBMBB,Istanbul Teknik Univ,Gazi Univ,ATILIM Univ,Int Univ Sarajevo,Kocaeli Univ,TURKiYE BiLiSiM VAKFIen_US
dc.description.sponsorshipUzay Cetinen_US
dc.description.sponsorshipThis study is accomplished as a term project of Free Artificial Intelligence Course to Young People in Sariyer Akademi, given by Uzay Cetin. We thank Sariyer Akademi and Sami Gorey for their support [10].en_US
dc.identifier.endpage541en_US
dc.identifier.isbn978-1-5386-7893-0
dc.identifier.scopus2-s2.0-85060660341en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage537en_US
dc.identifier.urihttps://hdl.handle.net/11411/8515
dc.identifier.wosWOS:000459847400104en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 3rd International Conference on Computer Science and Engineering (Ubmk)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPolitical Data Scienceen_US
dc.subjectApplied Machine Learningen_US
dc.subjectComputational Social Scienceen_US
dc.titleA Glimpse to Turkish Political Climate with Statistical Machine Learningen_US
dc.typeConference Objecten_US

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