Myers-Briggs Personality Prediction

Rohith Muralidharan, Neenu Kuriakose, Sangeetha J
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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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迈尔斯-布里格斯性格预测法
迈尔斯-布里格斯类型指标(MBTI)是评估个人性格最常用的工具之一。通过这一工具,我们可以识别个人在做出决定和感知世界时的心理倾向。MBTI 的应用遍及多个领域,包括职业发展和个人成长。该测试由一系列问题组成,专门用于评估和衡量个人基于四种二分法的选择--外向(E)与内向(I)、感觉(S)与直觉(N)、思考(T)与感觉(F)以及判断(J)与感知(P)。迈尔斯-布里格斯性格预测项目旨在利用机器学习技术开发和部署一个系统,该系统能够根据一个人在社交媒体上的帖子、评论、博客等在线书面互动来预测其 MBTI 性格类型。该项目对各种应用具有重要意义,包括改善客户体验、优化团队动力和开发个性化辅导计划。我们希望通过该项目深入了解语言使用与人格类型之间的关系,并开发出一种强大的人格预测工具。
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