Published December 30, 2023 | Version CC BY-NC-ND 4.0
Journal article Open

Myers-Briggs Personality Prediction

  • 1. Department of Computer Science, St. Albert's College (Autonomous), Ernakulam, India.

Contributors

Contact person:

  • 1. Department of Computer Science, St. Albert's College (Autonomous), Ernakulam, India.
  • 2. Department of Computer Science, St. Albert's College (Autonomous), Ernakulam, India

Description

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.

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Additional details

Identifiers

DOI
10.54105/ijdm.B1630.053123
EISSN
2582-9246

Dates

Accepted
2023-05-15
Manuscript received on 28 April 2023 | Revised Manuscript received on 08May 2023 | Manuscript Accepted on 15 May 2023 | Manuscript published on 30 December 2023

References