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All Journal International Journal of Artificial Intelligence and Robotics (IJAIR)
Salafudin, Muhammad Shubkhan
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Knowing Personality Traits on Facebook Status Using the Naïve Bayes Classifier Sarwani, Mohammad Zoqi; Salafudin, Muhammad Shubkhan; Sani, Dian Ahkam
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 2 No. 1 (2020): IJAIR : May
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2169.831 KB) | DOI: 10.25139/ijair.v2i1.2636

Abstract

With the development of social media trends among students by using Facebook social media, students can communicate and pour out everything that is felt in the form of status. Personality is the character or various characters of a person - therefore, how a person to adjust to the surrounding environment for the achievement of communication smoothly. In the personality category, many things classify a person's category in the psychologist theory. In this exercise, the Big Five, the psychologist theory, is described in five codes, namely Openness, Conscientiousness, Extraversion, Agreeables, Neuroticism. Naive Bayes Classifier is used to determine the highest probability value with the aim to determine the highest value. The data used are two namely training data and testing data obtained from the Facebook status of students. From the data obtained can be tested in the system that the accuracy value is 88%.
Co-Authors Mohammad Zoqi Sarwani, Mohammad Zoqi Sani, Dian Ahkam