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

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