Knowing Personality Traits on Facebook Status Using the Naïve Bayes Classifier
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Abstract views: 298
,
PDF downloads: 180
Copyright Transfer Agreement downloads: 0
Ethical Statement downloads: 0
Plagiarism Checker downloads: 0
Keywords:
Facebook status, Knowing Personality Traits, Big five, Naive Bayes Classifier
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%.
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References
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[4] I. Setiawati, G. Abdillah, and A. I. Hadiana, “Sistem Pendukung Keputusan Penempatan Karyawan Berdasarkan Test Dominant-Influence-Steady-Compliance (Disc) Menggunakan Metode Profile Matching,” Pros. SNST Fak. Tek., vol. 1, no. 1, pp. 25–30, 2016.
[5] R. A. N. Prasasti, “Hubungan Antara Dimensi Kepribadian Big Five Dengan Perilaku Merokok Pada Remaja Akhir,” 2011.
[6] M. Z. Sarwani, D. A. Sani, and F. C. Fakhrini, "Personality Classification through Social Media Using Probabilistic Neural Network Algorithms," Int. J. Artif. Intell. Robot., vol. 1, no. 1, p. 9, 2019.
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[9] J. N. Apriliana, Natalis Ransi, “Implementasi Text Mining Klasifikasi Skripsi Menggunakan Metode Naïve Bayes Classifier,” Semant. Vol.3, No.2, Jul-Des 2017, vol. 3, no. 2, pp. 329–343, 2017.
[10] G. A. Buntoro, "Analisis Sentimen Hatespeech Pada Twitter Dengan Metode Naive Bayes Classifier Dan Support Vector Machine," Din. Inform., vol. 5, no. September 2016.
[11] J. I. Syariah, “Pengaruh Media Sosial Terhadap Kepribadian Mahasiswa STEBIS IGM Palembang *,” vol. 4, no. 2, pp. 327–336, 2016.
[12] Alfa Saleh, “Implementasi Metode Klasifikasi Naïve Bayes dalam Memprediksi Besarnya Penggunaan Listrik Rumah Tangga,” Citec J., vol. 2, no. 3, pp. 207–217, 2015.
