Gender Classification of Thai Facebook Usernames
Supitcha Yuenyong, Sukree Sinthupinyo · International Journal of Machine Learning and Computing · 2020
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.