Analysis of classification of text documents according to the content using machine learning methods

Analysis of classification of text documents according to the content using machine learning methods

Authors

  • Saidov Doniyor Yusupovich
  • Eshbadalov Sirojiddin Usmon o’g’li

Abstract

Annotation. This paper is dedicated to the classification of text documents according to their
content. There is given information for preliminary processing and selection of algorithms to
classification of textual documents.

References

N. Gerasimenko, A. Chernyavskiy, M. Nikiforova, A. Ianina, K. Vorontsov, Incremental Topic Modeling for Scientific Trend Topics Extraction, Proceedings of the International Conference ―Dialogue, 2023

Н.А. Игнатьев, Д.Ю. Саидов, Анализ данных и принятие решений с помощью логических закономерностей в форме

олуплоскостей, Известия Самарского научного центра Российской академии наук 19 (4-2), 294-299

Ш.Ф. Мадрахимов, Д.Ю. Саидов, Группировка признаков по критерию устойчивости объектов классов, Актуальные проблемы прикладной математики, информатики и механики, 93-95

Published

2024-06-07

How to Cite

Saidov , D., & Eshbadalov, S. (2024). Analysis of classification of text documents according to the content using machine learning methods: Analysis of classification of text documents according to the content using machine learning methods. MODERN PROBLEMS AND PROSPECTS OF APPLIED MATHEMATICS, 1(01). Retrieved from https://ojs.qarshidu.uz/index.php/mp/article/view/534

Issue

Vol. 1 No. 01 (2024): INTERNATIONAL CONFERENCE

Section

Computational linguistics