Keyword identification in Spanish documents using neural networks

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The large amount of textual information digitally available today gives rise to the need for effective means of indexing, searching and retrieving this information. Keywords are used to describe briefly and precisely the contents of a textual document. In this paper we present an algorithm for keywo...

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Detalles Bibliográficos
Autores principales:	Aquino, Germán Osvaldo, Lanzarini, Laura Cristina
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2015
Materias:	Ciencias Informáticas keyword extraction autoencoders Neural nets Redes Neurales (Computación)
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/50087 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-2.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-50087
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas keyword extraction autoencoders Neural nets Redes Neurales (Computación)
spellingShingle	Ciencias Informáticas keyword extraction autoencoders Neural nets Redes Neurales (Computación) Aquino, Germán Osvaldo Lanzarini, Laura Cristina Keyword identification in Spanish documents using neural networks
topic_facet	Ciencias Informáticas keyword extraction autoencoders Neural nets Redes Neurales (Computación)
description	The large amount of textual information digitally available today gives rise to the need for effective means of indexing, searching and retrieving this information. Keywords are used to describe briefly and precisely the contents of a textual document. In this paper we present an algorithm for keyword extraction from documents written in Spanish.This algorithm combines autoencoders, which are adequate for highly unbalanced classification problems, with the discriminative power of conventional binary classifiers. In order to improve its performance on larger and more diverse datasets, our algorithm trains several models of each kind through bagging.
format	Articulo Articulo
author	Aquino, Germán Osvaldo Lanzarini, Laura Cristina
author_facet	Aquino, Germán Osvaldo Lanzarini, Laura Cristina
author_sort	Aquino, Germán Osvaldo
title	Keyword identification in Spanish documents using neural networks
title_short	Keyword identification in Spanish documents using neural networks
title_full	Keyword identification in Spanish documents using neural networks
title_fullStr	Keyword identification in Spanish documents using neural networks
title_full_unstemmed	Keyword identification in Spanish documents using neural networks
title_sort	keyword identification in spanish documents using neural networks
publishDate	2015
url	http://sedici.unlp.edu.ar/handle/10915/50087 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST41-Paper-2.pdf
work_keys_str_mv	AT aquinogermanosvaldo keywordidentificationinspanishdocumentsusingneuralnetworks AT lanzarinilauracristina keywordidentificationinspanishdocumentsusingneuralnetworks
bdutipo_str	Repositorios
_version_	1764820475473559552

Keyword identification in Spanish documents using neural networks

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