Personality Prediction Based on Sentiment Analysis

Social media provides an uninterrupted attachment and connectivity, between its
user and the external world by revealing personal post/details and their point of view
in every aspect of life. The focal aim of this project is to develop a system that can
be used to predict personality of social media users and/or author of a text using
sentiment analysis. The project main context is to reveal the profiling of these users
based on their personality traits by the basis of the dataset. This profiling can become
handy and convenient when it comes to career development, job compensation and
situation preferences in different surroundings. The personality prediction uses
information that is available to the public on the user’s personal social media account
using the Big Five Model (Openness, Conscientiousness, Extraversion,
Agreeableness & Neuroticism).