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JOURNALS // Intelligent systems. Theory and applications // Archive

Intelligent systems. Theory and applications, 2022 Volume 26, Issue 1, Pages 50–61 (Mi ista333)

Part 1. Plenary reports

Automatic sentiment analysis of texts: problems and methods

N. V. Lukashevich

Lomonosov Moscow State University, Research Computing Center

Abstract: This paper provides a brief overview of the problems of sentiment analysis, as well as the problems and approaches used. In recent years, machine learning methods have been actively used in sentiment analysis problems. The article discusses the main approaches of machine learning and their features. On the example of one of the datasets for the Russian language, the progress of methods in the problem of sentiment analysis is considered.

Keywords: sentiment analysis, targeted sentiment analysis, sentiment lexicon, machine learning, neural network, BERT.



© Steklov Math. Inst. of RAS, 2024