Automatic Sentiment Analysis of Texts: The Case of Russian

Abstract

The chapter considers the problems of automatic sentiment analysis of texts including processing multiple opinions, implicit and explicit sentiment, ambiguity of sentiment words, sentiment modifiers, irreal context, comparisons, et cetera. Main approaches to sentiment analysis are briefly presented, including the types of sentiment vocabularies. Most attention is given to Russian-specific components of automatic sentiment analysis: publicly available vocabularies and sentiment-related shared tasks.