Comparative Analysis of Psychometric Prediction System

The quest to know more regarding the inner workings of the human brain and how that affects the course of actions we take has been unabated by recent technological developments in the integrated fields of psychology and computation. The eclectic collection of people participating actively on social media has led data scientists and machine learning engineers to analyse and infer from the gratuitous data available in profound quantities. There have been multiple approaches germane to the subject in hand using deep learning. The most prevalent one is the Big Five or OCEAN model which scrutinizes the dispositions or the acquired traits and then divides them into 5 broad colloquial categories namely: “Open to Experience”, “conscientiousness”, “extraversion”, “agreeableness” and “neuroticism”. Furthermore, Convolutional neural networking architecture has been used to hypothesize personality prediction in numerous ways, including handwriting analysis and hate-speech analysis. The motivation of the paper was to not use the convolutional neural network and try the other learning models which can give a good output and do a comparison which would indeed help to differentiate while choosing the algorithm for the other users, so we have compared two