JOURNAL ARTICLE

Machine learning algorithms for sentiment analysis

Д.С. БузинМ.Т. Азизов

Year: 2022 Journal:   Vestnik of Russian New University Series «Complex systems models analysis management» Pages: 129-139

Abstract

Проводится комплексный анализ технологии машинного обучения. В ходе исследования разработаны алгоритмы глубокого обучения для анализа тональности текста и проведено сравнение их эффективности с другими классификаторами на основе алгоритмов машинного обучения. The study provides a comprehensive analysis of machine learning technology. In the course of the study, deep learning algorithms were developed for analyzing the sentiment of the text and a comparison was made of their effectiveness with other classifiers based on machine learning algorithms.

Keywords:
Computer science Sentiment analysis Artificial intelligence Machine learning Algorithm Online machine learning Deep learning Computational learning theory Instance-based learning Active learning (machine learning)

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.17
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Engineering Diagnostics and Reliability
Physical Sciences →  Engineering →  Mechanics of Materials
Legal and Regulatory Analysis
Social Sciences →  Social Sciences →  Transportation
Legal and Policy Issues
Social Sciences →  Social Sciences →  Law
© 2026 ScienceGate Book Chapters — All rights reserved.