An Overview of Existing Machine Learning Methods for Gender Classification of Names
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Abstract
The paper presents an overview of the existing machine learning methods for solving the
problem of gender classification of the authors of the written texts by names: substantiates
the relevance of the research topic, analyzes the existing methods of solving the task and
selects the direction of further research.
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An Overview of Existing Machine Learning Methods for Gender Classification of Names / Anna Shleiko, Natalia Borysova, Zoia Kochuieva, Karina Melnyk // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 91–92.