Personality Traits Prediction on Social Networks

Abstract

Each individual has his own distinct character, making his own decisions, which is based on his personality. Gaining insight of a web user’s personality can be very useful for many applications like recommender systems, personalized advertising and on-line marketing. Psychologists are interested in predicting the personality traits of individuals, which costs them great effort. Researchers in computer science field have tried to reach a model for extracting personality traits relying on user’s profiles on social network sites as an input. Content created by users such as text posts, photos and even shared activities in social network sites are considered as a huge source of data. Researches all-over the world tried to use that rich source of data to predict personality traits in many different languages, but none of them have tried to work with the Arabic language. Even Arabic speakers represent a large sector of social media users.