Emotional Analysis Based on Text Using X MBTI Data

Recently, since various forms of text, photos, and videos are getting uploaded on the internet, the importance of utilizing data has increased. Among the online platforms with lots of users, X (Twitter) allows users to post their lifestyle based on text and images and provide the latest news and information. Since the users create and share text about their individual lives, the data of X contains their language habitats and personalities. Moreover, as the importance of personal emotion is increasing, self-objectification based on the Myers-Briggs Type Indicator (MBTI) is now trending. MBTI divides personality into 16 detailed categories through the various selections, emphasizes the strength and weakness of each personality, and shares the result to the individuals. However, MBTI is not perfectly accurate, which can be changed based on the emotional states or feelings. This study trains a MBTI prediction model based on text data created from X. The trained model allows one to determine the difference between numerous feelings and psychological state immediately, and display the linguistic characteristics of each MBTI through data-driven statistics by data analysis.