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ISSN 2063-5346
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Application of machine learning using MBTI classification to understand the borderline disorder

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Dr. Siva Shanmugam G, Devanshi Choudhary, Harine Anand, Catherine Xavier
» doi: 10.48047/ecb/2023.12.5.296

Abstract

The unique combination of features that define a person's habits, actions, attitudes, and thought processes is known as their personality. Based on supervised ML techniques applied to benchmark datasets, current research on social media text and personality detection uses these techniques. It may be tough to perform in routine activities if you've a borderline personality syndrome, a mental disorder that changes how you thinks and feel about yourself and other people. The primary goal of the current research is to infer user personality from the MBTI personality traits and predict the personalities which might be affected by borderline disorder. To extract personality characteristics, an intelligent sentence analysis model is created. Researchers have recently become interested in building automatic personality detection systems as a result of personality recognition from social networking sites.

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