Clustering Narrow-Domain Short Texts Using K-Means, Linguistic Patterns and LSI-Reference-Cited by-同舟云学术

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Clustering Narrow-Domain Short Texts Using K-Means, Linguistic Patterns and LSI

Published:2014 Issue: Volume: Page:183-189
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Popova Svetlana,Danilova Vera,Egorov Artem

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-12580-0_18

Reference15 articles.

1. Bernardini, A., Carpineto, C.: Full-subtopic retrieval with keyphrase-based search results clustering. In: IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, vol. 1 (2009)

2. Lecture Notes in Computer Science;D Zhang,2004

3. Zeng, HJ., He, QC., Chen, Zh., Ma, WY., Ma, J.: Learning to cluster web search results. In: Proceeding SIGIR ’04 Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 210–217 (2004)

4. Communications in Computer and Information Science;S Popova,2013

5. Lecture Notes in Computer Science;M Alexandrov,2005

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