Formal concept analysis for topic detection: A clustering quality experimental analysis

•We propose a novel application of FCA-based methods for Topic Detection, overcoming traditional problems of the clustering and classification techniques.•We achieve state-of-the-art results for the topic detection task at Replab 2013.•We propose an evaluation framework to measure the quality of the...

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Bibliographic Details

Published in:	Information systems (Oxford) Vol. 66; pp. 24 - 42
Main Authors:	Castellanos, A., Cigarrán, J., García-Serrano, A.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2017
Subjects:	Clustering quality analysis Formal concept analysis Hierarchical agglomerative clustering Latent dirichlet allocation Topic detection Formal concept analysis Latent dirichlet allocation Clustering quality analysis Topic detection Hierarchical agglomerative clustering
ISSN:	0306-4379, 1873-6076
Online Access:	Get full text
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