Data/hora: 08/06/2024 13:32:38

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 03/02/2011
Data da última atualização: | 14/01/2020
Autoria: | MOURA, M. F.; REZENDE, S. O.
Afiliação: | MARIA FERNANDA MOURA, CNPTIA; SOLANGE OLIVEIRA REZENDE, ICMC/USP.
Título: | A simple method for labeling hierarchical document clusters.
Ano de publicação: | 2010
Fonte/Imprenta: | In: IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS, 10., 2010, Innsbruck. Proceedings... Anaheim: ACTA Press.
Páginas: | p. 363-371.
ISBN: | 978-0-88986-817-5
Idioma: | Inglês
Notas: | AIA 2010.
Conteúdo: | One of the problems of automatic models in generating topic taxonomies is the process of creating the most significant word list that discriminates each document group. A proposal for doing this through labeling hierarchical document clusters is presented in this paper. The goal of this method is to aid the construction of topic taxonomies. It aims to be language independent and to produce discriminative labels for each group, without replications of the terms along the hierarchy branches. Moreover the method is cluster independent, that is, it can be applied to any hierarchical cluster result or any hierarchy, even those that are manually produced. In order to reach the goals the method is based on a formal definition of a topic taxonomy, also presented in the paper. The method was implemented and evaluated against three other literature methods through their recalling results in a particular information retrieval process. The proposed method outperformed the other three methods; additionally it has a linear complexity.
Palavras-Chave: | Agrupamento hierárquico; Attribute selection; Cluster labeling; Document clustering; Hierarchical clustering; Mineração de textos; Recuperação da informação; Seleção de atributos; Text mining; Topic taxonomy.
Thesagro: | Taxonomia.
Thesaurus Nal: | Cluster analysis; Information retrieval.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (15538-1) - UPC - AA - DD -  -  -  - DIS