Twitter-Based Gender Recognition Using Transformers. (arXiv:2205.06801v1 [cs.CL])

Social media contains useful information about people and the society that
could help advance research in many different areas (e.g. by applying opinion
mining, emotion/sentiment analysis, and statistical analysis) such as business
and finance, health, socio-economic inequality and gender vulnerability. User
demographics provide rich information that could help study the subject
further. However, user demographics such as gender are considered private and
are not freely available. In this study, we propose a model based on
transformers to predict the user's …

arxiv gender transformers twitter