Finding correlative associations among news topics

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaComputational Linguistics and Intelligent Text Processing - 2nd International Conference, CICLing 2001, Proceedings
EditoresAlexander Gelbukh
EditorialSpringer Verlag
Páginas524-526
Número de páginas3
ISBN (versión impresa)3540416870, 9783540416876
DOI
EstadoPublicada - 2001
Evento2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001 - Mexico City, México
Duración: 18 feb. 200124 feb. 2001

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen2004
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia2nd International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2001
País/TerritorioMéxico
CiudadMexico City
Período18/02/0124/02/01

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