A Hybrid Classification System to find News that is relevant

Reference : A Hybrid Classification System to find News that is relevant


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/14173

Title :	A Hybrid Classification System to find News that is relevant
Language :	English
Author, co-author :	Kampas, Dimitrios [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Schommer, Christoph [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2013
Journal title :	ECDA 2013
Peer reviewed :	Yes
Audience :	International
Keywords :	[en] Topic Detection ; Financial News
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/14173

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	File	Commentary	Version	Size	Access
Open access	Abstract-KampasSchommer.pdf		Publisher postprint	87.96 kB	View/Open

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