Finding correlative associations among news topics

Manuel Montes-y-Gómez; Aurelio López-López; Alexander Gelbukh

doi:10.1007/3-540-44686-9_53

Finding correlative associations among news topics

Manuel Montes-y-Gómez, Aurelio López-López, Alexander Gelbukh

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A method for finding real-world associations between news topics (as distinguished from apparent associations caused by the constant size of the newspaper) is described. This is important for studying society interests.

Original language	English
Title of host publication	Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings
Editors	Alexander Gelbukh
Publisher	Springer Verlag
Pages	524-526
Number of pages	3
ISBN (Print)	3540416870, 9783540416876
DOIs	https://doi.org/10.1007/3-540-44686-9_53
State	Published - 2001
Event	2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001 - Mexico City, Mexico Duration: 18 Feb 2001 → 24 Feb 2001

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2004
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001
Country/Territory	Mexico
City	Mexico City
Period	18/02/01 → 24/02/01

Access to Document

10.1007/3-540-44686-9_53

Cite this

Montes-y-Gómez, M., López-López, A., & Gelbukh, A. (2001). Finding correlative associations among news topics. In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings (pp. 524-526). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2004). Springer Verlag. https://doi.org/10.1007/3-540-44686-9_53

Montes-y-Gómez, Manuel ; López-López, Aurelio ; Gelbukh, Alexander. / Finding correlative associations among news topics. Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings. editor / Alexander Gelbukh. Springer Verlag, 2001. pp. 524-526 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Montes-y-Gómez, M, López-López, A & Gelbukh, A 2001, Finding correlative associations among news topics. in A Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2004, Springer Verlag, pp. 524-526, 2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001, Mexico City, Mexico, 18/02/01. https://doi.org/10.1007/3-540-44686-9_53

Finding correlative associations among news topics. / Montes-y-Gómez, Manuel; López-López, Aurelio; Gelbukh, Alexander.
Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings. ed. / Alexander Gelbukh. Springer Verlag, 2001. p. 524-526 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2004).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Montes-y-Gómez, Manuel

AU - López-López, Aurelio

AU - Gelbukh, Alexander

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PY - 2001

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N2 - A method for finding real-world associations between news topics (as distinguished from apparent associations caused by the constant size of the newspaper) is described. This is important for studying society interests.

AB - A method for finding real-world associations between news topics (as distinguished from apparent associations caused by the constant size of the newspaper) is described. This is important for studying society interests.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings

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Montes-y-Gómez M, López-López A, Gelbukh A. Finding correlative associations among news topics. In Gelbukh A, editor, Computational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings. Springer Verlag. 2001. p. 524-526. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44686-9_53

Finding correlative associations among news topics

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