Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2014, Issue 1, Pages 25–33 (Mi iipr354)  
This article is cited in 3 scientific papers (total in 3 papers)

Natural language processing

Open evaluating sentiment analysis systems in Russian

N. V. Lukashevicha, I. I. Chetviorkinb

a Lomonosov Moscow State University, Research Computing Center
b Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
Full-text PDF (423 kB) Citations (3)
Abstract: In this paper we describe our experience in conducting the first open sentiment analysis evaluations in Russian within ROMIP 2011–2012. Several train collections were created for such tasks as sentiment classification in blogs and newswire, opinion retrieval. The paper describes the state of the art in sentiment analysis in Russian, collection characteristics, track tasks and evaluation metrics.
Keywords: sentiment analysis, opinion mining, sentiment classification, ROMIP.
English version:
Scientific and Technical Information Processing, 2014, Volume 41, Issue 6, Pages 370–376
DOI: https://doi.org/10.3103/S0147688214060057
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: N. V. Lukashevich, I. I. Chetviorkin, “Open evaluating sentiment analysis systems in Russian”, Artificial Intelligence and Decision Making, 2014, no. 1, 25–33; Scientific and Technical Information Processing, 41:6 (2014), 370–376
Citation in format AMSBIB
\Bibitem{LukChe14}
\by N.~V.~Lukashevich, I.~I.~Chetviorkin
\paper Open evaluating sentiment analysis systems in Russian
\jour Artificial Intelligence and Decision Making
\yr 2014
\issue 1
\pages 25--33
\mathnet{http://mi.mathnet.ru/iipr354}
\elib{https://elibrary.ru/item.asp?id=21244842}
\transl
\jour Scientific and Technical Information Processing
\yr 2014
\vol 41
\issue 6
\pages 370--376
\crossref{https://doi.org/10.3103/S0147688214060057}
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  • https://www.mathnet.ru/eng/iipr354
  • https://www.mathnet.ru/eng/iipr/y2014/i1/p25
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Abstract page:25
    Full-text PDF :20
    References:1
     
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