Social Media Text - A Source for Personality Prediction

Social media usage has been on an ever increasing exponential rise. Usage of social media sites, such as Twitter and Facebook, for social interaction has also become a popular trend. It is estimated that on an average, around 6,000 tweets are tweeted on Twitter every second. With people spending on an average 35 minutes on Facebook each day, it is also estimated that there are about 317,000 status updates on Facebook per minute. These vast volumes of data have powerful information locked within them. This data can be analyzed and several purposes. The use of such social media data for predicting user personality is common. Prediction models have been successfully built that can predict several user attributes - age, gender, personality traits, occupation, political orientation etc. Standards in personality models such as the Big Five model, DISC and the Myers-Briggs Type Indicator have been the basis for all such personality prediction. A user's social media data can thus be used to predict his/her personality. The main objective of this work is to review the work carried out for personality prediction using social media data.