Feature Extraction and Representation for Economic Surveys

Reference : Feature Extraction and Representation for Economic Surveys


	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/10184

Title :	Feature Extraction and Representation for Economic Surveys
Language :	English
Author, co-author :	Schommer, Christoph [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Minev, Mihail [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Grammatikos, Theoharry [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Luxembourg School of Finance (LSF) >]
	Schaefer, Ulrich []
Publication date :	2013
Peer reviewed :	No
Audience :	International
Event name :	Bridging between Information Retrieval and Databases
Event date :	from 04-02-2013 to 08-02-2013
Keywords :	[en] Feature Detection ; Financial News ; Feature Extraction
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/10184

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Open access	FERES_Poster_30_01_2013.pdf		Publisher postprint	214.67 kB	View/Open

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