Extrovert and Introvert Classification based on Myers-Briggs Type Indicator(MBTI) using Support Vector Machine (SVM)

Personality is a characteristic of each individual who describes their behavior and influences their interactions with other individuals. Every individual has various way to express their feelings, one of them through social media. On social media, humans can create and share a variety of content about various objects, describe activities, to express their thoughts, opinions, and feelings. This study aims to classify human personalities based on the MBTI method that focused on Extrovert and Introvert class, seen from their tweets. Humans able to better understand and improve themselves by recognizing their weaknesses and strengths. The dataset used in this study is a public dataset from Kaggle, consists of 8676 data that posted on Twitter. Various feature combinations have been compared using Support Vector Machine (SVM) classifier. The deployment of solution have been described. Accuracies up to 84.07% were achieved using the methods detailed in this work.