USING MACHINE LEARNING TO ANALYZE THE EMOTIONAL TONE OF RUSSIAN-LANGUAGE PRODUCT REVIEWS

This paper analysed the emotional tone of Russian-language product reviews in the category “Women's clothing and accessories”. The dataset containing more than 97 thousand reviews was studied using various methods of text processing and analysis.

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Publication Details

Published
2025-04-14
DOI
https://doi.org/10.58168/cismp2024_385-391
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
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article

USING MACHINE LEARNING TO ANALYZE THE EMOTIONAL TONE OF RUSSIAN-LANGUAGE PRODUCT REVIEWS

A. Yudin, O. Oksyuta
Sentiment Analysis and Opinion Mining
article

USING MACHINE LEARNING TO ANALYZE THE EMOTIONAL TONE OF RUSSIAN-LANGUAGE PRODUCT REVIEWS

A. Yudin, O. Oksyuta
article en

Abstract

This paper analysed the emotional tone of Russian-language product reviews in the category “Women's clothing and accessories”. The dataset containing more than 97 thousand reviews was studied using various methods of text processing and analysis.

Voronezh State University of Forestry and Technologies (RU)
Openalex Percentile: Top 97%
Sentiment Analysis and Opinion Mining
DOISourceOpenAlex
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USING MACHINE LEARNING TO ANALYZE THE EMOTIONAL TONE OF RUSSIAN-LANGUAGE PRODUCT REVIEWS — A. Yudin, O. Oksyuta · (2025) | TGRS Research Map | TGRS