An Overview of Existing Machine Learning Methods for Gender Classification of Names

Shleiko, AnnaBorysova, NataliaKochuieva, ZoiaMelnyk, Karina2022-05-232022-05-232021-05-042021-05-04An 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. 91–92.2523-4013https://ena.lpnu.ua/handle/ntb/56805The 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.91-92enGender classificationsupervised machine learningmethods of classificationAn Overview of Existing Machine Learning Methods for Gender Classification of NamesArticlecopyrighted by its editors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).© 2021 Copyright for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and2An 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.