Personality Prediction System from Facebook Users

172Citations
Citations of this article
256Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The use of social networks is increasing rapidly. Various informations are shared widely through social media, i.e. Facebook. Information about users and what they expressed through status updates are such important assets for research in the field of behavioral learning and human personality. Similar researches have been conducted in this field and it grows continually till now. This study attempts to build a system that can predict a person's personality based on Facebook user information. Personality model used in this research is Big Five Model Personality. While other previous researches used older machine learning algorithm in building their models, this research tries to implement some deep learning architectures to see the comparison by doing comprehensive analysis method through the accuracy result. The results succeeded to outperform the accuracy of previous similar research with the average accuracy of 74.17%.

Cite

CITATION STYLE

APA

Tandera, T., Hendro, Suhartono, D., Wongso, R., & Prasetio, Y. L. (2017). Personality Prediction System from Facebook Users. In Procedia Computer Science (Vol. 116, pp. 604–611). Elsevier B.V. https://doi.org/10.1016/j.procs.2017.10.016

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free