Narrow-domain Short Texts Clustering Algorithm
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Narrow-domain Short Texts Clustering Algorithm
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| Автор |
Popova, S. V.
Khodyrev, I. A. |
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| Тематика |
INFORMATION RETRIEVAL
TEXTS CLUSTERING NARROW-DOMAIN SHORT TEXTS CLUSTERING K-MEANS GENETIC ALGORITHM |
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| Описание |
In this paper, we describe the algorithm of narrow-domain short texts clustering, which is based on terms’ selection and modification of k-means algorithm. Our approach was tested on collections: CICling–2002 and SEPLIN-CICling. Results of tests and conclusions are presented.
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| Дата |
2011-10-12T09:50:17Z
2011-10-12T09:50:17Z 2011 |
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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 |
Popova S. V. Narrow-domain Short Texts Clustering Algorithm / S. V. Popova, I. A. Khodyrev // Web of Data: The joint RuSSIR/EDBT 2011 Summer School, August 15–19, 2011, Proceedings of the Fifth Russian Young Scientists Conference in Information Retrieval / B. Novikov, P. Braslavsky (Eds.). — St. Petersburg, 2011 — P. 30-39.
978-5-288-05225-5 http://elar.urfu.ru/handle/10995/3709 |
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| Язык |
en
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| Связанные ресурсы |
RuSSIR/EDBT2011
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| Формат |
200791 bytes
application/pdf |
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| Издатель |
St. Petersburg University Press
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