About: Empirical Study of Classification Models for Web Page Categorization

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ebooks.iospress.nl/volumearticle/37218
Description	We describe one part of a web page content classification system used for contextual advertising. The system classifies the content of a web page to one of many predefined ad categories, i.e. performing text classification [2,8,10]. Our goal is to identify the best performing classification model for Czech language. We present a comprehensive comparison study of selected models, text representations, and feature selection techniques on a collection of datasets with different numbers of documents, numbers of categories, and varying category sizes. We conclude the work with the recommendation for the best performing models. We describe one part of a web page content classification system used for contextual advertising. The system classifies the content of a web page to one of many predefined ad categories, i.e. performing text classification [2,8,10]. Our goal is to identify the best performing classification model for Czech language. We present a comprehensive comparison study of selected models, text representations, and feature selection techniques on a collection of datasets with different numbers of documents, numbers of categories, and varying category sizes. We conclude the work with the recommendation for the best performing models. (en)
Title	Empirical Study of Classification Models for Web Page Categorization Empirical Study of Classification Models for Web Page Categorization (en)
skos:prefLabel	Empirical Study of Classification Models for Web Page Categorization Empirical Study of Classification Models for Web Page Categorization (en)
skos:notation	RIV/68407700:21230/14:00220119!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Tunys, Tomáš Šedivý, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	14465
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00220119
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	text classification; text representation; feature selection; model comparison; naive bayes model; dirichlet compound multinomial (en)
http://linked.open.../riv/klicoveSlovo	dirichlet compound multinomial naive bayes model model comparison feature selection text classification text representation
http://linked.open...ontrolniKodProRIV	[E532ADE4C7B0]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Amsterdam
http://linked.open...i/riv/nazevZdroje	Frontiers in Artificial Intelligence and Applications
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Šedivý, Jan Tunys, Tomáš
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open...ain/vavai/riv/wos	000350218400030
http://linked.open.../riv/zahajeniAkce	2014-08-18 (xsd:date)
issn	0922-6389
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.3233/978-1-61499-421-3-290
http://purl.org/ne...btex#hasPublisher	IOS Press
https://schema.org/isbn	978-1-61499-420-6
http://localhost/t...ganizacniJednotka	21230

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