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Performance analysis of Particle Swarm Optimization applied to Unsupervised Categorization of Short Texts

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Performance analysis of Particle Swarm Optimization applied to Unsupervised Categorization of Short Texts

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Cagnina, LC.; Ingaramo, DA.; Errecalde, ML.; Rosso, P. (2011). Performance analysis of Particle Swarm Optimization applied to Unsupervised Categorization of Short Texts. Procesamiento del Lenguaje Natural. 47:207-214. http://hdl.handle.net/10251/28834

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Title: Performance analysis of Particle Swarm Optimization applied to Unsupervised Categorization of Short Texts
Secondary Title: Análisis de Prestación de Particle Swarm Optimization aplicado a Categorización no Supervisada de Textos Cortos
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[ES] Existe actualmente la necesidad de acceder a información en línea tal como resúmenes, noticias, opiniones, evaluaciones de productos, etc. Dicha información está disponible en la web, generalmente con el formato de ...[+]


[EN] Nowadays there is a need to access to on line information such as abstracts, news, opinions, evaluations of products, etc. That information is generally available on the web as short texts. Previous works have ...[+]
Subjects: Unsupervised Categorization , Short texts , Particle swarm optimization , Categorización no supervisada , Textos cortos , Optimización mediante Cúmulo de Partículas
Copyrigths: Reserva de todos los derechos
Source:
Procesamiento del Lenguaje Natural. (issn: 1135-5948 )
Publisher:
Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN)
Publisher version: http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/issue/archive
Project ID: info:eu-repo/grantAgreement/EC/FP7/269180/EU
Thanks:
This research work was done in the framework of Marie Curie actions PEOPLE-IRSES 269180 WiQ-Ei: Web information Quality Evaluation initiative. The work of the first author is partially funded by the UPV program PAID-02-10-2257. ...[+]
Type: Artículo

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