An Overview of Existing Machine Learning Methods for Gender Classification of Names
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Date
2021-05-04
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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.
Description
Keywords
Gender classification, supervised machine learning, methods of classification
Citation
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.