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Evaluating Sentiment Analysis Systems in Russian.

, and . BSNLP@ACL, page 12-17. Association for Computational Linguistics, (2013)

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Уточнение русскоязычных словарей эмоциональной лексики с использованием тезауруса RuThes (Refinement of Russian Sentiment Lexicons Using RuThes Thesaurus)., and . RCDL, volume 1297 of CEUR Workshop Proceedings, page 61-65. CEUR-WS.org, (2014)Supervised Approach to Finding Most Frequent Senses in Russian., and . AIST, volume 542 of Communications in Computer and Information Science, page 339-349. Springer, (2015)DomEx: Extraction of Sentiment Lexicons for Domains and Meta-Domains., and . COLING (Demos), page 77-86. Indian Institute of Technology Bombay, (2012)Evaluating Sentiment Analysis Systems in Russian., and . BSNLP@ACL, page 12-17. Association for Computational Linguistics, (2013)Extraction of Russian Sentiment Lexicon for Product Meta-Domain., and . COLING, page 593-610. Indian Institute of Technology Bombay, (2012)Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams., and . WASSA@ACL, page 67-72. The Association for Computer Linguistics, (2014)Contrasting Public Opinion Dynamics and Emotional Response During Crisis., , , and . SocInfo (1), volume 10046 of Lecture Notes in Computer Science, page 312-329. (2016)