UCLA

The Myers-Briggs Type Indicator (MBTI) is a widely popular personality classification tool. While being used for personal growth, it has also gradually aroused strong public interest in the field of social media. However, there has been a lack of clear and quantitative evidence on whether different MBTI personality types have significant differences in emotional expression on social media. This article aims to explore this issue through rigorous data processing and sentiment analysis. The data set comes from Kaggle's MBTI data set. We clean the data and retain text features, and use the VADER analyzer to perform sentiment analysis on the language style of social media users. At the same time, we use a variety of visualization methods to compare the emotional distribution and word usage characteristics of different MBTI types. We then identify underlying patterns through intuitive visualizations. The results show that people with extroversion (E) and feeling (F) types are more likely to express positive emotions on social media, while people with introversion (I) and thinking (T) types are relatively neutral. These findings help to better understand the dynamic relationship between personality characteristics and social media behavior, and also provide inspiration for personalized recommendations, marketing strategies, psychology research and other fields.