This paper is devoted to an approach for sentiment classification of Russian texts applying
an automatic thesaurus of the subject area. This approach consists of a standard machine …

The paper describes a new approach for sentiment classification of long texts from
newspapers using an automatically generated thesaurus. An important part of the proposed …

The paper is devoted to development of the method that classifies texts in English and
Russian by sentiments into positive, negative, and neutral. The proposed method is based …

This paper describes rule-based approach to sentiment analysis, that aims at shallow
parsing of an input text in the Russian language and applying a set of linguistic rules for …

This paper considers the problem of Sentiment classification in text messages in Russian
with using Machine Learning methods-Naive Bayes classifier and the Support Vector …

The paper deals with the sentiment analysis of text and provides an results of experiments
with classification texts into positive, negative and neutral classes using different machine …

Currently, there are more than a dozen Russian-language corpora for sentiment analysis,
differing in the source of the texts, domain, size, number and ratio of sentiment classes, and …

In this article, we explore the task of sentiment analysis for Ukrainian and Russian news,
analyze different approaches and linguistics resources for sentiment analysis. We …

This paper presented the methodology of Textual Content Classification, which is based on
a combination of algorithms: preliminary forming a contextual framework for the texts in …

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 …