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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2015, Volume 25, Issue 1, Pages 20–33
DOI: https://doi.org/10.14357/08696527150102 (Mi ssi391) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Combining corpus and thesaurus information for extracting sentiment words

N. V. Loukachevitch, I. I. Chetviorkin

Research Computing Center, M. V. Lomonosov Moscow State University, 4 Leninskie Gory, Moscow 119991, Russian Federation
Full-text PDF (241 kB) Citations (2)
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DOI: https://doi.org/10.14357/08696527150102
Abstract: The paper describes a combined approach to extraction of a domain-specific sentiment lexicon. At first, an initial version of a domain-specific lexicon is obtained by application of a supervised model. At the second stage, the ordered list of sentiment words is refined using the thesaurus information. This combined model is applied to several domains and at last, the domain-specific sentiment lexicons are united to create an improved version of the Russian sentiment lexicon in the generalized domain of products.
Keywords: sentiment analysis; domain adaptation; natural language processing; thesaurus.
Received: 20.01.2015
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: N. V. Loukachevitch, I. I. Chetviorkin, “Combining corpus and thesaurus information for extracting sentiment words”, Sistemy i Sredstva Inform., 25:1 (2015), 20–33
Citation in format AMSBIB
\Bibitem{LukChe15}
\by N.~V.~Loukachevitch, I.~I.~Chetviorkin
\paper Combining corpus and~thesaurus information for~extracting sentiment words
\jour Sistemy i Sredstva Inform.
\yr 2015
\vol 25
\issue 1
\pages 20--33
\mathnet{http://mi.mathnet.ru/ssi391}
\crossref{https://doi.org/10.14357/08696527150102}
\elib{https://elibrary.ru/item.asp?id=23875692}
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  • https://www.mathnet.ru/eng/ssi/v25/i1/p20
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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