Identifying personality traits for Indonesian user from twitter dataset

Abstract

Social media allows the user to convey their actual self and share their life experiences through numerous ways. This behavior in turn reflects the user's personality. In this paper, we experiment to automatically predict user's personality based on Big Five Personality Trait on Twitter. Our focus is towards Indonesian user. Not only word n-gram, Twitter metadata is also used in a certain combination to determine the feature that will be used to predict the personality. Our research also attempts to find optimum setting based on the number of n-gram, classifier, and twitter metadata. Our experiment yields 0.7482 at most on F-Measure. We conclude that among all scenario, twitter metadata is the least impactful feature, while word n-gram impacts the most.