This paper presents RuSentiment, a new dataset for sentiment analysis of social media
posts in Russian, and a new set of comprehensive annotation guidelines that are extensible …

Sentiment analysis has become a powerful tool in processing and analysing expressed
opinions on a large scale. While the application of sentiment analysis on English-language …

Введение: в последние годы анализ тональности, или сентимент-анализ,
высказываний пользователей находит практическое применение во многих областях …

Recently, transfer learning from pre-trained language models has proven to be effective in a
variety of natural language processing tasks, including sentiment analysis. This paper aims …

The performance of sentiment analysis methods has greatly increased in recent years. This
is due to the use of various models based on the Transformer architecture, in particular …

The dramatic expansion of modern linguistic research and enhanced accuracy of linguistic
analysis have become a reality due to the ability of artificial neural networks not only to learn …

Рассматриваются способы создания словарей оценочной лексики на русском и
английском языках с указанием их достоинств и недостатков. Анализируются 13 …

The paper proposes a method of constructing text-based country-specific measures for
economic policy uncertainty. To avoid problems of translation and human validation costs …

The main objective of multilingual sentiment analysis is to analyze reviews regardless of the
original language in which they are written. Switching from one language to another is very …

The paper describes the RuSentNE-2023 evaluation devoted to targeted sentiment analysis
in Russian news texts. The task is to predict sentiment towards a named entity in a single …