Skip to Main Content

Modelling and Data Analysis
2023. Vol. 13, no. 2, 64–76
doi:10.17759/mda.2023130203
ISSN: 2219-3758 / 2311-9454 (online)

Problems of Natural Language Classification Using Methods of Classical Machine Learning

126

G.B. Sologub, V.A. Pukhov

PDF (RUS)
Online translation in english
GS
Information
in Google Scholar

Abstract

This article describes the problems of classical machine learning methods in natural language classification. One of these tasks is the classification of structural elements in school essays. On its example, the shortcomings of classical machine learning are considered in comparison with other, more complex algorithms.

General Information

Keywords: text classification, natural language analysis, automation of essay checking

Journal rubric: Data Analysis

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2023130203

Received: 21.03.2023

Accepted:

For citation: Sologub G.B., Pukhov V.A. Problems of Natural Language Classification Using Methods of Classical Machine Learning. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2023. Vol. 13, no. 2, pp. 64–76. DOI: 10.17759/mda.2023130203. (In Russ., аbstr. in Engl.)

References

  1. Manning, C.D.; Raghavan, P.; Schutze, H. Scoring, term weighting, and the vector space model // Cambridge University Press. 2009 P. 109-133 DOI:10.1017/CBO9780511809071.007
  2. Dyakonov A. G. Lectures https://dyakonov.org/tag/лекции/ (In.Russ,)
  3. Alex Sherstinsky Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network // 2020 P. 1-40 DOI:10.1016/j.physd.2019.132306 Available at: https://sciencedirect.com/science/article/abs/pii/S0167278919305974 (In.Russ,)
  4. Christopher Olah Understanding LSTM Networks // 2015 Available at: http://colah.github.io/posts/2015-08-Understanding-LSTMs/

Information About the Authors

Gleb B. Sologub, PhD in Physics and Matematics, Associate Professor of the Department of Mathematical Cybernetics of Institute of Information Technologies and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia, ORCID: https://orcid.org/0000-0002-5657-4826, e-mail: glebsologub@ya.ru

Vyacheslav A. Pukhov, Undergraduate Student of the Institute of Information Technology and Applied Mathematics, Moscow Aviation Institute (National Research University), Moscow, Russia, ORCID: https://orcid.org/0000-0002-8078-6386, e-mail: csguard26@gmail.com

Metrics

Views

Total: 278
Previous month: 17
Current month: 17

Downloads

Total: 126
Previous month: 8
Current month: 4