Persona Traits Identification based on Myers-Briggs Type Indicator(MBTI) - A Text Classification Approach

Personality is a very important part of our lifestyle. It determines how we live, speak, react, and indicates our preferences, and even affects our mental health. Personality analysis is an intuitive ability of humans, carried out every day with multiple people, and for innumerable reasons. Personality profiling, specifically, has several real-life use cases, such as mental health screening tests, screening during human resource interviews, recommendations to writers about the interplay between personalities that people enjoy reading about and friend suggestions. This work presents the analysis of text written by a person such as an essay, tweet, or blog post and creates a personality profile of the person. The main considerations of the work are the type of data gathered, text preprocessing methods, and the machine learning techniques used to estimate personality scores. Various machine learning models and feature vector combinations have been compared, and deployment of solutions have been described. Accuracies up to 88% were achieved using the methods detailed in this work.