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

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

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PDF) Development of a Myers-Briggs Type Indicator Based Personalised E-Learning System

PDF] Personality Type Based on Myers-Briggs Type Indicator with Text Posting Style by using Traditional and Deep Learning

PDF) Communicator Image and Myers-Briggs Type Indicator Extraversion-Introversion