The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Different demographics, eg, gender or age, can demonstrate substantial variation in their
language use, particularly in informal contexts such as social media. In this paper we focus …

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

Automatic assessment of sentiment in large text corpora is an important goal in social
sciences. This paper describes a methodology and the results of the development of a …

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

We study subjective language in social media and create Twitter-specific lexicons via
bootstrapping sentiment-bearing terms from multilingual Twitter streams. Starting with a …

News verification and automated fact checking tend to be very important issues in our world.
The research is initial. We collected a corpus for Russian (174 news reports, truthful and …

In this paper we describe our experience in conducting the first open sentiment analysis
evaluations in Russian in 2011-2012. These initiatives took part within Russian Information …

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 …

Sentiment lexicons play an important role in the systems of sentiment analysis and opinion
mining. The article takes a look into eight publicly available Russian sentiment lexicons of …