Personality Classification based on Facebook status text using Multinomial Naïve Bayes method
Y B N D Artissa, Ibnu Asror, Said Al Faraby · Journal of Physics Conference Series · 2019
Psychological research shows that the way people write is influenced by their personalities. Words that are often used can describe someone's personality. Facebook is one of the social networking sites for users to express themselves. User status posts can be used to identify the user's personality. To find out the personality of a person based on the statuses they write on Facebook use text classification techniques using Multinomial Naive Bayes method. The language is English. The test result shows that accuracy increases after reducing the number of word variations and variations of prior probability values. The accuracy obtained by using stemming in the preprocessing process is 59.9% and using uniform prior increases 0.3%.