• Ms. C. Ashwini
• Arnab Rooj
• Sk Shahid Ali

A wide range of methods have been created with the growth of social networks to determine the personalities of consumers based on their social activities and practices of language use. In terms of distinct machine learning algorithms, information sources, and function sets, particular methods vary. The purpose of this article is to explore the predictability of Facebook users ' personality characteristics. The actions of these users on social networks provide scientists with a excellent platform to study and comprehend their behaviors, preferences and personalities online. Our research predicts personality based on the social behavior of consumers on Facebook's social media platform and their language-use practices. With the greatest correlations, we examine the characteristics.

"PERSONALITY PREDICTION SYSTEM USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.358-362, June 2019, Available :http://www.jetir.org/papers/JETIR1907N87.pdf

"PERSONALITY PREDICTION SYSTEM USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp358-362, June 2019, Available at : http://www.jetir.org/papers/JETIR1907N87.pdf