Document Clustering and Cluster Topic Extraction in Multilingual Corpora

I
ICDM
2001
First IEEE International Conference on Data Mining (ICDM'01)
Abstract - Document Clustering and Cluster Topic Extraction in Multilingual Corpora

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First IEEE International Conference on Data Mining (ICDM'01)

San Jose, California

November 29-December 02

ISBN: 0-7695-1119-8

	ASCII Text	x
	Joaquim Silva, João Mexia, Agra Coelho, Gabriel Lopes, "Document Clustering and Cluster Topic Extraction in Multilingual Corpora," Data Mining, IEEE International Conference on, pp. 513, First IEEE International Conference on Data Mining (ICDM'01), 2001.

	BibTex	x
	@article{ 10.1109/ICDM.2001.989559, author = {Joaquim Silva and João Mexia and Agra Coelho and Gabriel Lopes}, title = {Document Clustering and Cluster Topic Extraction in Multilingual Corpora}, journal ={Data Mining, IEEE International Conference on}, volume = {0}, year = {2001}, isbn = {0-7695-1119-8}, pages = {513}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989559}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining, IEEE International Conference on TI - Document Clustering and Cluster Topic Extraction in Multilingual Corpora SN - 0-7695-1119-8 SP EP A1 - Joaquim Silva, A1 - João Mexia, A1 - Agra Coelho, A1 - Gabriel Lopes, PY - 2001 VL - 0 JA - Data Mining, IEEE International Conference on ER -

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2001.989559

A statistics-based approach for clustering documents and for extracting cluster topics is described. Relevant (meaningful) Expressions (REs) automatically extracted from corpora are used as clustering base features. These features are transformed and its number is strongly reduced in order to obtain a small set of document classification features. This is achieved on the basis of Principal Components Analysis. Model-Based Clustering Analysis finds the best number of clusters. Then, the most important REs are extracted from each cluster and taken as document cluster topics.

Citation:

Joaquim Silva, João Mexia, Agra Coelho, Gabriel Lopes, "Document Clustering and Cluster Topic Extraction in Multilingual Corpora," icdm, pp.513, First IEEE International Conference on Data Mining (ICDM'01), 2001

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