Abstract
Personality prediction is used in many real-time applications such as job performance assessment, medical forums, psychology and many more. Over the years, various attempts have been made to predict personalities using different indicators. One such indicator is the Myers–Briggs Type Indicator (MBTI). This paper summarizes the most recent work done in predicting personality using MBTI from a time frame of 2010–2020. A total of 30 papers are reviewed. The paper gives a thorough literature review comparing and contrasting all these works based on parameters like dataset used, algorithm used, feature extraction method used and its limitations. Finally, giving a conclusion drawn based on these observations.
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Notes
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- 3.
Reddit: http://takelab.fer.hr/data/mbti.
- 4.
Personality Café Forum: https://figshare.com/articles/dataset/8k_MBTI_Dataset_From_Personality_Cafe/14587572.
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Tomar A et al (2020) Machine learning, advances in computing, renewable energy and communication, LNEE vol 768. Springer Nature, Berlin, 659 p. https://doi.org/10.1007/978-981-16-2354-7. ISBN 978-981-16-2354-7
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Biswas, S., Bhat, S., Jaiswal, G., Sharma, A. (2022). Critical Insights into Machine Learning and Deep Learning Approaches for Personality Prediction. In: Tomar, A., Malik, H., Kumar, P., Iqbal, A. (eds) Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication. Lecture Notes in Electrical Engineering, vol 915. Springer, Singapore. https://doi.org/10.1007/978-981-19-2828-4_63
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