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Artificial Intelligence and Decision Making, 2014, Issue 1, Pages 25–33
(Mi iipr354)
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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
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.
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
Linking options:
https://www.mathnet.ru/eng/iipr354 https://www.mathnet.ru/eng/iipr/y2014/i1/p25
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