Analysis of Machine Learning Algorithm for Processing Text Documents

Abstract

Analysis of Machine Learning Algorithm for Processing Text Documents

Bespalova N.V., Korchagin S.A., Serdechny D.V.

Incoming article date: 18.02.2025

The use of machine learning when working with text documents significantly increases the efficiency of work and expands the range of tasks to be solved. The paper provides an analysis of the main methods of presenting data in a digital format and machine learning algorithms, and a conclusion is made about the optimal solution for generative and discriminative tasks.

Keywords: machine learning, natural language processing, transformer architecture models, gradient boosting, large language models