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Instagram is a social networking application where users reveal a lot about themselves. These data contribute in big data, so the authors wanted to know what information can be taken on the personality of the user. Data mining plays an important role aiming to transform raw data into a structure that can be understood to be used further. text mining refers to the process of taking high-quality information from text, a classification method that can be used is Naïve Bayes classifier. Based on the theory of five factor model, the results of the study concluded that 11.68% were classified as personality Openness to New Experiences, 5:34% as personality Conscientiousness, 5.5% as personality Extraversion, 8:54% as personality Agreeableness, 4.82% as personality Neuroticsm, and 64.12% can not be classified.

Penerapan Data Mining dalam Menganalisis Kepribadian Pengguna Media Sosial dengan Naive Bayes Classifier: Studi Kasus Media Sosial Instagram