Personality Prediction And Group Detection Using Social Media Posts

Personality is an essential component of our every day life. It has an impact on how we live, speak, respond, and express ourselves, as well as on our mental health. Personality analysis is a natural human ability that is utilised every day with a wide range of individuals and for a wide range of objectives. Personality profiling, in particular, has a wide range of real-world applications, such as mental disease screening exams, human resource interview shortlisting, friend recommendations, and writer recommendations based on the interplay of personalities that people like reading about. Kaggle’s (MBTI) Myers Briggs Personality Type Dataset will be used for the project. The Myers–Briggs Type Indicator (MBTI) is currently widely used and recognised as one of the most reliable instruments. In this work, a comparative study is performed for predicting MBTI personality types using different machine learning algorithm . The results obtained after a series of progressive techniques are compared on the basis of various metrics and the findings reveal that both in terms of accuracy and dependability the performance has been improved as compared to previous works the solution deployment has been detailed, and a large number of feature vector combinations and machine learning models were compared.