Document clustering and cluster topic extraction in multilingual corpora

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2001, Pages 513-520

  Silva, Joaquim ^a   Mexia, João ^a   Coelho, Agra ^b   Lopes, Gabriel ^a  

^a UNIVERSIDADE NOVA DE LISBOA   (Portugal)

^b INSTITUTO SUPERIOR DE AGRONOMIA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

CLUSTERING DOCUMENTS; DOCUMENT CLASSIFICATION; DOCUMENT CLUSTERING; MODEL-BASED CLUSTERING; NUMBER OF CLUSTERS; PRINCIPAL COMPONENTS ANALYSIS; TOPIC EXTRACTION;

DATA MINING;

EID: 33644663491     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icdm.2001.989559     Document Type: Conference Paper

References (9)

1. C. Clifton and R. Cooley. Topcat: Data mining for topic identification in a text corpus. In Principles of Data Mining and Knowledge Discovery, pages 174-183, 1999.
2. Y. Escoufier and H. L'Hermier. A propos de la comparaison graphique des matrices de variance. Biometrischc Zeitschrift, 20(5):477-483, 1978.
3. C. Fraley and A. E. Raftery. How many clusters? which clustering method? - answers via model-based clustering analysis. The computer Journal, 41:578-588, 1998.
4. R. A. Johnson and D. W. Wichern. Applied Multivariate Statistical Analysis. Prentice-Hall International, second edition edition, 1988.
5. D. R. Radev, J. Hongyan, and B. Makgorzata. Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies. In Proceedings of the ANLP/NAACL Workshop on Summarization, 2000.
6. J. F. Silva, G. Dias, S. Guilloré, and G. P. Lopes. Using LocalMaxs algorithm for the extraction of contiguous and non-contiguous multiword lexical units. In Progress in Artificial Intelligence, volume 1695 of Lecture Notes in Artificial Intelligence, pages 113-132. Springer-Verlag, 1999.
7. J. F. Silva and G. P. Lopes. A local maxima method and a fair dispersion normalization for extracting multiword units. In Proceedings of the 6th Meeting on the Mathematics of Language, pages 369-381, Orlando, July 1999.
8. Y. Wilks and R. Gaizauskas. Lasie junps the gate. In Natural Language Informarion Retrieval, pages 200-214. Kluwer Academic Publishers, 1999.
9. J. Zhou. Phrasal terms in real-world ir applications. In Natural Language Information Retrieval, pages 225-259. Kluwer Academic Publishers, 1999.