REVIEW ON PREDICTING PERSONALITY THROUGH TWITTER

Abstract

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.