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MBTI Personality Prediction With Machine Learning

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dc.contributor.authorSonmezoz, Kaan
dc.contributor.authorUgur, Ozgur
dc.contributor.authorDiri, Banu
dc.date.accessioned2026-06-27T14:27:18Z
dc.date.issued2020
dc.description.abstractPersonality traits, continuously affect our lives, from our behavior to our career decisions. It's possible to design more accurate recommendation systems and develop more efficient digital marketing strategies by the help of personality traits. In this work, people's MBTI personality traits were predicted according to their social media posts. Although it is the first study which uses Turkish language, the results show that personality type prediction can be applied in Turkish language as well. The best results were obtained when the MBTI dimensions were predicted. The F-Score values of those except one dimension are approximately 60%.en
dc.description.urihttps://doi.org/10.1109/siu49456.2020.9302239
dc.identifier.doi10.1109/siu49456.2020.9302239
dc.identifier.isbn978-1-7281-7206-4
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.14981/60810
dc.identifier.wos000653136100213
dc.language.isotur
dc.publisherIEEE
dc.relation.conference28th Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectNatural language processing
dc.subjectmachine learning
dc.subjectMBTI
dc.subjectpersonality prediction
dc.subjectpersonality traits
dc.subjectBRIGGS TYPE INDICATOR
dc.subjectBIG 5
dc.subjectMODEL
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleMBTI Personality Prediction With Machine Learning
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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