Myers-Briggs Personality Prediction
Rohith Muralidharan1, Neenu Kuriakose2, Sangeetha J3
1Rohith Muralidharan, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.
2Neenu Kuriakose, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.
3Sangeetha J, Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, India.
Manuscript received on 28 April 2023 | Revised Manuscript received on 08May 2023 | Manuscript Accepted on 15 May 2023 | Manuscript published on 30 December 2023 | PP: 11-19 | Volume-3 Issue-1 May 2023 | Retrieval Number: 100.1/ijdm.B1630113223 | DOI: 10.54105/ijdm.B1630.053123
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© The Authors. Published by Lattice Science Publication (LSP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Myers-Briggs Type Indicator (MBTI) is one of the most commonly used tool for assessing an individual’s personality. This tool allows us to identify the psychological proclivity in the way they take decisions and perceive the world. MBTI has it’s applications spread across several fields which include career development and personal growth. This test consists of a set of questions which are specifically designed to evaluate and measure an individual’s choices based on four dichotomies – Extraversion (E) vs. Introversion (I), Sensing (S) vs. Intuition (N), Thinking (T) vs. Feeling (F), and Judging (J) vs. Perceiving (P). Myers-Briggs Personality Prediction project aims to develop and deploy a system using machine learning which is capable of predicting one’s MBTI personality type based on their online written interactions such as social media posts, comments, blogs etc. This project has significant implications for various applications, including improving customer experience, optimizing team dynamics, and developing personalized coaching programs. Through this project, we hope to gain a deeper understanding of how language use and personality type are related and to develop a robust tool for personality prediction.
Keywords: Python, Machine Learning, XG Boost, Supervised learning.
Article of the Scope: Machine Learning