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 …

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

We present the development and evaluation of a semantic analysis task that lies at the
intersection of two very trendy lines of research in contemporary computational linguistics:(1) …

In a world of ever-growing customer data, businesses are required to have a clear line of
sight into what their customers think about the business, its products, people and how it …

The growing number of digitally accessible text corpora and the accelerating development of
NLP tools and methods (particularly the emergence of powerful large-scale language …

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

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 …

The article explores the impact of Machine Translation on sentiment analysis, employing the
combination of two state-ofthe-art tools-the multilingual sentiment analysis tool SentiSAIL …

В монографии представлены основы создания и развития дискурсивной эристической
риторики-риторики языковой трансгрессии и речевого противоречия, основанной на …

Automatic sentiment analysis of texts, that is, the identification of the author's opinion about
the subject discussed in the text, has been one of the most significant tasks in natural …