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Narrow-domain short texts clustering algorithm. / Popova, Svetlana V.; Khodyrev, Ivan A.

Proceedings of the Fifth Russian Young Scientists Conference in Information Retrival. 2011. p. 30-39 pp.

Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology › Research › peer-review

Harvard

Popova, SV & Khodyrev, IA 2011, Narrow-domain short texts clustering algorithm. in Proceedings of the Fifth Russian Young Scientists Conference in Information Retrival. pp. 30-39 pp.

APA

Popova, S. V., & Khodyrev, I. A. (2011). Narrow-domain short texts clustering algorithm. In Proceedings of the Fifth Russian Young Scientists Conference in Information Retrival (pp. 30-39 pp.)

Vancouver

Popova SV, Khodyrev IA. Narrow-domain short texts clustering algorithm. In Proceedings of the Fifth Russian Young Scientists Conference in Information Retrival. 2011. p. 30-39 pp.

Author

Popova, Svetlana V. ; Khodyrev, Ivan A. / Narrow-domain short texts clustering algorithm. Proceedings of the Fifth Russian Young Scientists Conference in Information Retrival. 2011. pp. 30-39 pp.

BibTeX

@inbook{a4491a69b27142049a7dcb2c7638a012,
title = "Narrow-domain short texts clustering algorithm",
abstract = "In this paper, we describe the algorithm of narrow-domain short texts clustering, which is based on terms{\textquoteright} 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.",
keywords = "Information retrieval, texts clustering, narrow-domain short texts clustering, k-means, genetic algorithm.",
author = "Popova, {Svetlana V.} and Khodyrev, {Ivan A.}",
year = "2011",
language = "English",
isbn = "978-5-288-05225-5",
pages = "30--39 pp.",
booktitle = "Proceedings of the Fifth Russian Young Scientists Conference in Information Retrival",

}

RIS

TY - CHAP

T1 - Narrow-domain short texts clustering algorithm

AU - Popova, Svetlana V.

AU - Khodyrev, Ivan A.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Information retrieval

KW - texts clustering

KW - narrow-domain short texts clustering

KW - k-means

KW - genetic algorithm.

M3 - Article in an anthology

SN - 978-5-288-05225-5

SP - 30

EP - 39

BT - Proceedings of the Fifth Russian Young Scientists Conference in Information Retrival

ER -

ID: 4408543