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dc.contributor.authorMONTEJO-RAEZ Arturoen_GB
dc.contributor.authorURENA-LOPEZ L. Alfonsoen_GB
dc.contributor.authorSTEINBERGER RALFen_GB
dc.date.accessioned2010-02-25T14:39:56Z-
dc.date.available2006-11-24en_GB
dc.date.available2010-02-25T14:39:56Z-
dc.date.issued2005en_GB
dc.date.submitted2005-11-24en_GB
dc.identifier.citationProcesamiento del Lenguaje Natural no. 35 p. 119-126en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC31101-
dc.description.abstractThis paper studies the use of different sources of information for performing a text classifcation task. The growing number of digital libraries imposes a review of the available data from those databases. Some experiments applying different base classifers for a multi-label classifer in the domain of High Energy Physics on several of these possible sources have been carried out. Results show that the use of metadata is almost as good as the full-text version of papers. Keywords: text categorization, machine learning, digital libraries.en_GB
dc.description.sponsorshipJRC.G.2-Support to external securityen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherSociedad Espanola para el Procesiamento del Lenguaje Naturalen_GB
dc.relation.ispartofseriesJRC31101en_GB
dc.titleText Categorization Using Bibliographic Records - Beyond Document Contenten_GB
dc.typeArticles in periodicals and booksen_GB
JRC Directorate:Space, Security and Migration

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