Mining Facebook Data for Predictive Personality Modeling
This paper explores the feasibility of modeling user personality based on a proposed set of features extracted from the Facebook data, and explores the suitability and performance of several classification techniques.
Abstract
Beyond being facilitators of human interactions, social networks have become an interesting target of research, providing rich information for studying and modeling user’s behavior. Identification of personality-related indicators encrypted in Facebook profiles and activities are of special concern in our current research efforts. This paper explores the feasibility of modeling user personality based on a proposed set of features extracted from the Facebook data. The encouraging results of our study, exploring the suitability and performance of several classification techniques, will also be presented.