Myers-briggs Personality Classification And Personality-specific Language Generation Using Pre-trained Language Models

Sedrick Scott Keh, I-tsun Cheng. Arxiv 2019 – 30 citations

[Paper]    
Model Architecture BERT

The Myers-Briggs Type Indicator (MBTI) is a popular personality metric that uses four dichotomies as indicators of personality traits. This paper examines the use of pre-trained language models to predict MBTI personality types based on scraped labeled texts. The proposed model reaches an accuracy of \(0.47\) for correctly predicting all 4 types and \(0.86\) for correctly predicting at least 2 types. Furthermore, we investigate the possible uses of a fine-tuned BERT model for personality-specific language generation. This is a task essential for both modern psychology and for intelligent empathetic systems.

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