A Framework for Automated Personality Prediction from Social Media Tweets

Social media is a type of online communication. Social media systems allow users to communicate, share information, and produce digital content. Social media allows people to contact with friends and family, learn new things, pursue new interests, entertain themselves, and make decisions on a more personal basis. On social media platforms, users can choose to publish their everyday activities as texts or photographs. The information selection as well as the kind of tweet they send might reveal a lot about their personality. In recent years, detecting or predicting an individual’s personality has become a difficult task. The ability to detect or identify an individual’s personality has become increasingly vital in recent years. There are numerous methods to assess an individual’s personality type. Personality traits can also be useful in the workplace to better understand a person’s positive and negative features. The objective of this study is to design a framework that uses social media data to predict a person’s personality. The big five personality model was employed as a personality model in this study. Big 5 predictions based on their social media comments. Comments analysed by NLP and NLTK with LSTM to give the emotion present in the comment and based on the emotions the Big 5 charter is predicted. There is currently no mechanism in place to assess and measure the user tweets. The experiment’s findings suggest that the parameters that are relevant to the users’ personalities. This can be derived from their tweets, which are 92% accurate.