PDF] Detection of Myers-Briggs Type Indicator via Text Based Computer-Mediated Communication

Various algorithms for detecting Myers-Briggs Type Indicator based on brief samples of an individual’s text communication from the web site Twitter are explored. In this paper various algorithms for detecting Myers-Briggs Type Indicator based on brief samples of an individual’s text communication from the web site Twitter are explored. These algorithms are trained using almost sevenhundred-thousand tweets from four-thousand-six-hundred unique users who have indicated their MBTI results. Keywords-MBTI; Myers-Briggs; Twitter; NLP; Naïve Bayes

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PDF) Predicting judging-perceiving of Myers-Briggs Type Indicator (MBTI) in online social forum

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PDF) SIMPA: Statement-to-Item Matching Personality Assessment from text

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The Myers-Briggs Assessment Test. Example Questions & Detailed Overview – Psychometric Success