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 …

Ethnicity-targeted hate speech has been widely shown to influence on-the-ground inter-
ethnic conflict and violence, especially in such multi-ethnic societies as Russia. Therefore …

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 …

Nowadays, product reviews on e-commerce sites tend to be a valuable resource in terms of
evaluation of customers' behavior, their preferences, and needs. This paper provides an …

The paper describes the new Russian sentiment lexicon-RuSentiLex. The lexicon was
gathered from several sources: opinionated words from domain-oriented Russian sentiment …

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 …

In this study, we test standard neural network architectures (CNN, LSTM, BiLSTM) and
recently appeared BERT architectures on previous Russian sentiment evaluation datasets …

The Russian language is still not as well-resourced as English, especially in the field of
sentiment analysis of Twitter content. Though several sentiment analysis datasets of tweets …