Cross-domain opinion word extraction model
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
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Cross-domain opinion word extraction model
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| Автор |
Chetviorkin, Ilia
Loukachevitch, Natalia |
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| Тематика |
ИНФОРМАТИКА
ИНФОРМАЦИОННЫЙ ПОИСК В ИНТЕРНЕТЕ ПОИСК ИНФОРМАЦИИ В ИНТЕРНЕТЕ КОНФЕРЕНЦИИ SENTIMENT ANALYSIS OPINION WORDS DOMAIN ADAPTATION |
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| Описание |
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.
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| Дата |
2012-11-12T11:34:56Z
2012-11-12T11:34:56Z 2012 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) Published version (info:eu-repo/semantics/publishedVersion) |
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| Идентификатор |
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.
978-5-8397-0888-4 http://elar.urfu.ru/handle/10995/4556 |
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| Язык |
en
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| Связанные ресурсы |
RuSSIR 2012
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| Формат |
169694 bytes
application/pdf |
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