Home > Archive > 2020 > Volume 10 Number 5 (Sept. 2020) >
IJMLC 2020 Vol.10(5): 618-623 ISSN: 2010-3700
DOI: 10.18178/ijmlc.2020.10.5.982

Gender Classification of Thai Facebook Usernames

Supitcha Yuenyong and Sukree Sinthupinyo

Abstract—This paper presents an application of machine learning to classify Facebook users’ gender based on their username alone. User profile information on social networks is important in many studies, but occasionally no information is publicly available online, such as age or gender. Most studies only use textual information from the web page. Instead, we opted to study gender classification by username, in which the gender is inferred from the users first name and alias name. We focused only on Thai names which may have certain patterns that reveal the owner’s gender. A combination of different models is proposed to classify gender based on Thai Facebook usernames. Each model was trained using a supervised learning approach. Furthermore, all the classification results were combined into a final model. Using this method, the model achieved 91.75% level of accuracy.

Index Terms—Gender classification, Facebook username, name analysis, social network, machine learning.

The authors are with the Department of Computer Engineering, Chulalongkorn University, 254 Phayathai Rd., Phatumwan Bangkok, 10330 Thailand. (e-mail: 6170973921@student.chula.ac.th, sukree.s@chula.ac.th).

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Cite: Supitcha Yuenyong and Sukree Sinthupinyo, "Gender Classification of Thai Facebook Usernames," International Journal of Machine Learning and Computing vol. 10, no. 5, pp. 618-623, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3700 (Online)
  • Abbreviated Title: Int. J. Mach. Learn. Comput.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJMLC
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • Abstracing/Indexing: Inspec (IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
  • E-mail: ijmlc@ejournal.net


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