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All Journal International Journal of Electrical and Computer Engineering Journal of Education and Learning (EduLearn) Indonesia Symposium on Computing IJoICT (International Journal on Information and Communication Technology) Syntax Literate : Jurnal Ilmiah Indonesia JURIKOM (Jurnal Riset Komputer) KOMPUTA : Jurnal Ilmiah Komputer dan Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) BERNAS: Jurnal Pengabdian Kepada Masyarakat eProceedings of Engineering
Veronikha Effendy
Universitas Telkom
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Journal : International Journal of Electrical and Computer Engineering

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Big five personality prediction based in Indonesian tweets using machine learning methods Warih Maharani; Veronikha Effendy
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1973-1981

Abstract

The popularity of social media has drawn the attention of researchers who have conducted cross-disciplinary studies examining the relationship between personality traits and behavior on social media. Most current work focuses on personality prediction analysis of English texts, but Indonesian has received scant attention. Therefore, this research aims to predict user’s personalities based on Indonesian text from social media using machine learning techniques. This paper evaluates several machine learning techniques, including naive Bayes (NB), K-nearest neighbors (KNN), and support vector machine (SVM), based on semantic features including emotion, sentiment, and publicly available Twitter profile. We predict the personality based on the big five personality model, the most appropriate model for predicting user personality in social media. We examine the relationships between the semantic features and the Big Five personality dimensions. The experimental results indicate that the Big Five personality exhibit distinct emotional, sentimental, and social characteristics and that SVM outperformed NB and KNN for Indonesian. In addition, we observe several terms in Indonesian that specifically refer to each personality type, each of which has distinct emotional, sentimental, and social features.
Co-Authors Adinda Rahma Khumairah Andy Satria Anisa Herdiani Anita Novantirani Arfive Gandhi Arief Rahman Sudibyo Ati Suci Dian Martha Avian Rinandhi Danang Junaedi Dawam Jatmiko Dawan Jatmiko Eko Darwiyanto Emil Kaburuan Fairuz Abid Insanullah Ferryal Bahari Gema Prawira Gusti Ngurah Diva Adwitya Kanita Nur Intan Awaliyah Lola Nadita Luthfi Shidqi Maulidatul Aulia Zahib Mira Kania Sabariah Muhamad Fachmi Ichsan Muhamad Fachmi Ichsan Muhammad Fajrin Muhammad Johan Alibasa Nadia Afyuni Ngurah Devara Udayana Reza Irsyad Alfian Risqi Puspa Dewi Setyono Utomo Shaufiah . Sri Widowati Stefan Syarief Tanri Hedresta Tiara Tiara Vharrel Devana Ismon Warih Maharani Yogi Putra Prastiawan