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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
04/03/2008 |
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Data da última atualização: |
16/01/2020 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
MOURA, M. F.; REZENDE, S. O. |
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Afiliação: |
MARIA FERNANDA MOURA, CNPTIA; SOLANGE OLIVEIRA REZENDE, USP. |
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Título: |
Choosing a hierarchical cluster labelling method for a specific domain document collection. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
In: NEVES, J. M.; SANTOS, M. F.; MACHADO, J. M. (Ed.). New triends in artificial intelligence. Braga: Tipografia Tadinense, 2007. |
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Páginas: |
p. 812-823. |
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Idioma: |
Inglês |
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Conteúdo: |
One of the problems in automatic models to generate topic taxonomies is the process of creating the most significant word list that discriminates each document group. In this paper, some methods are proposed to discover these lists from hierarchical document groups, as well as the use os some classical methods for this task. The use of the methods was experimented by some domain specialists, trying to find a solution that could satisfy their expectations. |
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Palavras-Chave: |
Cluster labelling; Clusterização; Documento hierárquico; Domain taxonomy; Hierarchical documento clustering; Topic taxonomy. |
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Thesagro: |
Taxonomia. |
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Thesaurus Nal: |
Cluster analysis; Taxonomy. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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100 1 $aMOURA, M. F.
245 $aChoosing a hierarchical cluster labelling method for a specific domain document collection.$h[electronic resource]
260 $c2007
300 $ap. 812-823.
520 $aOne of the problems in automatic models to generate topic taxonomies is the process of creating the most significant word list that discriminates each document group. In this paper, some methods are proposed to discover these lists from hierarchical document groups, as well as the use os some classical methods for this task. The use of the methods was experimented by some domain specialists, trying to find a solution that could satisfy their expectations.
650 $aCluster analysis
650 $aTaxonomy
650 $aTaxonomia
653 $aCluster labelling
653 $aClusterização
653 $aDocumento hierárquico
653 $aDomain taxonomy
653 $aHierarchical documento clustering
653 $aTopic taxonomy
700 1 $aREZENDE, S. O.
773 $tIn: NEVES, J. M.; SANTOS, M. F.; MACHADO, J. M. (Ed.). New triends in artificial intelligence. Braga: Tipografia Tadinense, 2007.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
