https://oldena.lpnu.ua/handle/ntb/56805| Title: | An Overview of Existing Machine Learning Methods for Gender Classification of Names |
| Authors: | Shleiko, Anna Borysova, Natalia Kochuieva, Zoia Melnyk, Karina |
| Affiliation: | National Technical University "Kharkiv Polytechnic Institute" |
| Bibliographic description (Ukraine): | 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. |
| Bibliographic description (International): | 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. |
| Is part of: | Computational linguistics and intelligent systems, 2021 |
| Issue Date: | 4-May-2021 |
| Place of the edition/event: | Львів ; Харків Lviv ; Kharkiv |
| Temporal Coverage: | 22-23 April 2021, Kharkiv |
| Keywords: | Gender classification supervised machine learning methods of classification |
| Number of pages: | 2 |
| Page range: | 91-92 |
| Start page: | 91 |
| End page: | 92 |
| 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/56805 |
| ISSN: | 2523-4013 |
| Copyright owner: | copyrighted 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 and |
| URL for reference material: | https://towardsdatascience.com/ https://analyticsindiamag.com/7-typesclassification-algorithms |
| References (Ukraine): | [1] A. Sidath, Machine Learning Classifiers, 2018. URL: https://towardsdatascience.com/ machinelearning-classifiers-a5cc4e1b0623 [2] E. Alpaydin, Introduction to Machine Learning, third, 3rd. ed., MIT Press, Cambridge, MA, 2015. [3] R. Garg, 7 Types of Classification Algorithms. URL: https://analyticsindiamag.com/7-typesclassification-algorithms |
| References (International): | [1] A. Sidath, Machine Learning Classifiers, 2018. URL: https://towardsdatascience.com/ machinelearning-classifiers-a5cc4e1b0623 [2] E. Alpaydin, Introduction to Machine Learning, third, 3rd. ed., MIT Press, Cambridge, MA, 2015. [3] R. Garg, 7 Types of Classification Algorithms. URL: https://analyticsindiamag.com/7-typesclassification-algorithms |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2021 р. |
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