MBTI personality classification using Apache Spark

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dc.contributor.authorOrynbekova K.
dc.contributor.authorTalasbek A.
dc.contributor.authorOmar A.
dc.date.accessioned2025-08-25T08:23:13Z
dc.date.available2025-08-25T08:23:13Z
dc.date.issued2021
dc.description.abstractPersonality determines how person make decisions, speak or react on different situations. In this paper explained shortly the specifics of Myers-Briggs Type Indicator personality classification, then details of preparation of the experiment to run on Apache Spark platform. In experiment three different classification algorithms (Logistic Regression, Naive Bayes, Support Vector Machine) are used to train and predict MBTI personality pairs on a Kaggle dataset consisting of 8675 users tweets. In the end explained the data preprocessing and algorithm training, testing, validation details and results. The models with different vector combinations have been compared, and results have been described.
dc.identifier.citationOrynbekova K , Talasbek A , Omar A / MBTI personality classification using Apache Spark / ResearchGate / 2021
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1955
dc.language.isoen
dc.publisherResearchGate
dc.subjectMBTI
dc.subjectApache Spark
dc.subjectLogistic Regression
dc.titleMBTI personality classification using Apache Spark
dc.typeArticle

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