CLASITEX+: A tool for knowledge discovery from texts

José Francisco Martínez Trinidad, Beatriz Beltrán Martínez, Adolfo Guzmán Arenas, José Ruiz Shulcloper

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

3 Citas (Scopus)

Resumen

In this work the CLASITEX+ system for discovers the most important themes treated in a text written in Spanish or English is presented. This system works on the basis of trees of concepts and find: a) the most frequent concepts in the text, b) the relation between these concepts computing the co-ocurrence into the sentences that conform the text. Also CLASITEX+ can give us a distribution map of the most frequent concepts in the text An important characteristic of the system is the amount of concepts in Spanish and English handled by the system, also the execution time in the document analysis is very acceptable.

Idioma originalInglés
Título de la publicación alojadaPrinciples of Data Mining and Knowledge Discovery - 2nd European Symposium, PKDD 1998, Proceedings
EditoresJan M. Zytkow, Mohamed Quafafou
EditorialSpringer Verlag
Páginas459-467
Número de páginas9
ISBN (versión impresa)3540650687, 9783540650683
DOI
EstadoPublicada - 1998
Evento2nd European Symposium on Principles of Data Mining and Knowledge Discovery in Databases, PKDD 1998 - Nantes, Francia
Duración: 23 sep. 199826 sep. 1998

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen1510
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia2nd European Symposium on Principles of Data Mining and Knowledge Discovery in Databases, PKDD 1998
País/TerritorioFrancia
CiudadNantes
Período23/09/9826/09/98

Huella

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