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Modelirovanie i Analiz Informatsionnykh Sistem, 2013, Volume 20, Number 2, Pages 70–79 (Mi mais298)  

Construction of a Model for the Cross-Domain Opinion Word Extraction

N. V. Loukachevitcha, I. I. Chetviorkinb

a Lomonosov Moscow State University, Leninskiye Gory, 1, Build. 4, Research Computing Center, Moscow, GSP-1, 119991, Russia
b Lomonosov Moscow State University, Leninskiye Gory 1, Build. 52, Faculty of Computational Mathematics and Cybernetics, Moscow, GSP-1, 119991, Russia
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Abstract: In this paper we consider a new approach for domain-specific opinion word extraction in the Russian language. We propose a set of statistical features and an algorithm combination that can extract opinion words in a particular domain. The extraction model was trained in the movie domain and then applied to four other domains. The quality of the obtained sentiment lexicons was evaluated intrinsically on the base of an expert markup and remained on the high level during the model transfer to various domains. Finally, our method is adapted to the movie domain in English and it demonstrated good results.
Keywords: sentiment analysis, opinion words, domain adaptation.
Received: 26.11.2012
Document Type: Article
UDC: 004.853
Language: Russian
Citation: N. V. Loukachevitch, I. I. Chetviorkin, “Construction of a Model for the Cross-Domain Opinion Word Extraction”, Model. Anal. Inform. Sist., 20:2 (2013), 70–79
Citation in format AMSBIB
\Bibitem{LukChe13}
\by N.~V.~Loukachevitch, I.~I.~Chetviorkin
\paper Construction of a Model for the Cross-Domain Opinion Word Extraction
\jour Model. Anal. Inform. Sist.
\yr 2013
\vol 20
\issue 2
\pages 70--79
\mathnet{http://mi.mathnet.ru/mais298}
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  • https://www.mathnet.ru/eng/mais/v20/i2/p70
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    Моделирование и анализ информационных систем
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