Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/4556
Title: Cross-domain opinion word extraction model
Authors: Chetviorkin, Ilia
Loukachevitch, Natalia
Issue Date: 2012
Citation: Chetviorkin I. Cross-domain opinion word extraction model / I. Chetviorkin, N. Loukachevitch // VI Russian Summer School in Information Retrieval, August 6–10, 2012. Proceedings of the Sixth Russian Young Scientists Conference in Information Retrieval / B. Sokolov, P. Braslavski. (Eds.). — Yaroslavl, 2012. — P. 5-15.
Abstract: In this paper we consider a new approach for domain-specific opinion word extraction in Russian. We propose a set of statistical features and algorithm combination that can discriminate opinion words in a particular domain. The extraction model is trained in a movie domain and then applied to four other domains. We evaluate the quality of obtained sentiment lexicons intrinsically. Finally, our method is adapted to a movie domain in English and demonstrates comparable results.
Keywords: ИНФОРМАТИКА
ИНФОРМАЦИОННЫЙ ПОИСК В ИНТЕРНЕТЕ
ПОИСК ИНФОРМАЦИИ В ИНТЕРНЕТЕ
КОНФЕРЕНЦИИ
SENTIMENT ANALYSIS
OPINION WORDS
DOMAIN ADAPTATION
URI: http://hdl.handle.net/10995/4556
https://elar.urfu.ru/handle/10995/4556
Conference name: VI Российская летняя школа по информационному поиску (RuSSIR’2012)
VI Russian Summer School in Information Retrieval (RuSSIR’2012)
Conference date: 6.08.2012–10.08.2012
ISBN: 978-5-8397-0888-4
Origin: RuSSIR 2012
Appears in Collections:Информационный поиск

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