• Mukul Pandey

Social media sites are now the most popular destination for Internet users, providing social scientists with a great opportunity to understand online behavior. There are a growing number of research papers related to social media, a small number of which focus on personality prediction. To date, studies have typically focused on the Big Five traits of personality, but one area which is relatively unexplored is that of the anti-social traits of narcissism, Machiavellianism and psychopathy, commonly referred to as the Dark Triad. This study explored the extent to which it is possible to determine antisocial personality traits based on Twitter use. Social media is a place where users present themselves to the world, revealing non-public info and insights into their lives. we're beginning to understand how some of this data may be applied to enhance the customers’ studies with interfaces and with each other. In this paper, we're involved in the persona of customers. personality has been shown to be applicable to many styles of interactions; it has been shown to be useful in predicting task pleasure, expert and romantic courting achievement, or even desire for special interfaces. Until now, to appropriately gauge users’ personalities, they needed to take a personality check. This made it impractical to apply personality evaluation in many social media domains. in this paper, we give a technique by means of which a consumer’s persona may be as it should be predicted through the publicly available facts on their Twitter profile. We are able to describe the type of information accumulated, our strategies of analysis, and the system gaining knowledge of techniques that permit us to efficiently expect personality. We then discuss the implications this has for social media design, interface layout, and broader domain names.

Predicting, Personality, social media, Social networking, Twitter.

"Review on Predicting Personality through the Twitter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.332-336, November-2018, Available :http://www.jetir.org/papers/JETIRFR06066.pdf

"Review on Predicting Personality through the Twitter", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp332-336, November-2018, Available at : http://www.jetir.org/papers/JETIRFR06066.pdf