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|a Aquino, Germán
|9 49012
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| 245 |
1 |
0 |
|a Keyword identification in spanish documents using neural networks
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|a 1 archivo (575,1 kB)
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|a Formato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
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|a 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.
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| 534 |
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|a Congreso Argentino de Ciencias de la Computación (21ro : 2015 : Junín, Argentina)
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| 650 |
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4 |
|a REDES NEURONALES
|9 42953
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| 653 |
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|a extracción de palabras clave
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| 700 |
1 |
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|a Lanzarini, Laura Cristina
|9 43377
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| 942 |
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|c CP
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| 952 |
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|u http://catalogo.info.unlp.edu.ar/meran/getDocument.pl?id=1481
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