Problems and methods of analysis of the Russian-language texts by sentiment identification

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The article analyzes the relevance of research and developments in the field of Natural Language Processing (NLP), provides forecasts of the analytical communities, reviews the main methods and approaches of sentiment analysis of Russian-language texts. A separate block is devoted to the problems of researching the tonality of both Russian-language texts and the global problems faced by scholars around the world, regardless of language.

Nlp, tone analysis, sentiment analysis, machine learning, text processing methods, artificial intelligence

Короткий адрес: https://sciup.org/148327127

IDR: 148327127   |   DOI: 10.18137/RNU.V9187.23.03.P.52

Статья научная