Personality Prediction Using Social Media Post

Abstract

Personality is what that differentiate an individual with another. By knowing and understanding an individual’s personality, many advantages can be obtained. Together with rapid growth of technology, knowing an individual’s personality can be done automatically. Psychology researches suggest that certain personality traits have correlation with linguistic behavior. Supported by the fame of social media, predicting human’s personality from their post become possible. Most existing researches have done similar approach in predicting personality from social media. However, focuses on closed vocabulary investigation with English as their language and mostly based on Big Five personality type. As a result, we get Naïve Bayes classifier outperforms the other statistical model with the highest accuracy (80% for I/E and 60% for S/N, T/F, and J/P personality traits) and shows the best performance in terms of speed in classifying the users.