Prediksi Kepribadian Berdasarkan Media Sosial Twitter Menggunakan Metode Naïve Bayes Classifier

Muhammad Ichsanudin A, Agung Susilo Yuda Irawan, Arip solehudin


Analysis of a person's personality is very helpful as an assessment in various matters such as recruitment, career, health. The methods commonly used in personality analysis are interviews, observations, and questionnaire surveys. This study tries to provide a solution by simply using social media, namely twitter, by analyzing twitter user information data called tweets, this is to add to the method of personality analysis. The method used in this personality prediction research is to classify a tweet into 5 personality forms. The personality method used by the researcher is the Big Five Personality which consists of openness, conscientiousness, extraversion, agreeableness, and neuroticism with classification calculations using Naive Bayes. The result of this research is an accuracy of 42% with the highest class, namely Agreeableness.


Karthika R, R. Kathiyayini. “Facebook Data for Predictive Personality Analysis”. IJSRCSEIT., vol.2, no.2, pp. 1147-1150. 2017.

Y B N D Artissa, I Asror, S A Faraby. “Personality Classification based on Facebook status text using Multinomial Naïve Bayes method”. Journal of Physics: Conference Series., vol.2, pp. 1-8. 2019.

Haq, F. I. N., & Setiawan, E. B. (2019). “Implementasi Naive Bayes Classifier untuk Prediksi Kepribadian Big Five pada Twitter Menggunakan Term Frequency-Inverse Document Frequency (TF-IDF) dan Term Frequency-Relevance Frequency (TF-RF)”. eProceedings of Engineering, 6(2).

Ellandi, R., Setiawan, E. B., & Nugraha, F. N. (2019).” Prediksi kepribadian Big Five dengan Term-Frequency Inverse Document Frequency Menggunakan Metode k-Nearest Neighbor pada Twitter”. eProceedings of Engineering, 6(2).

Yusra, Y., Fikry, M., Syarfianto, R., Candra, R. M., & Budianita, E. (2018, November). “Klasifikasi Kepribadian Big Five Pengguna Twitter dengan Metode Naïve Bayes”. In Seminar Nasional Teknologi Informasi Komunikasi dan Industri (pp. 317-321).

Han, J. dan Kamber, M., 2006, “Data Mining: Concepts and Techniques-Chapter 2”. USA: Elsevier



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