Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/3709
Title: Narrow-domain Short Texts Clustering Algorithm
Authors: Popova, S. V.
Khodyrev, I. A.
Issue Date: 2011
Publisher: St. Petersburg University Press
Citation: 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.
Abstract: 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.
Keywords: INFORMATION RETRIEVAL
TEXTS CLUSTERING
NARROW-DOMAIN SHORT TEXTS CLUSTERING
K-MEANS
GENETIC ALGORITHM
URI: http://hdl.handle.net/10995/3709
http://elar.urfu.ru/handle/10995/3709
Conference name: V Russian Summer School in Information Retrieval (RuSSIR’2011)
V Российская летняя школа по информационному поиску (RuSSIR’2011)
EDBT Summer Schools
Conference date: 15.08.2011–19.08.2011
ISBN: 978-5-288-05225-5
Origin: RuSSIR/EDBT2011
Appears in Collections:Информационный поиск

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