Machine learning and natural language processing on the patent corpus: data, tools, and new measures

Reference : Machine learning and natural language processing on the patent corpus: data, tools, a...


	Document type :	Scientific journals : Article
	Discipline(s) :	Business & economic sciences : Quantitative methods in economics & management
	Focus Areas :	Entrepreneurship and Innovation / Audit
	To cite this reference:	http://hdl.handle.net/10993/32487

Title :	Machine learning and natural language processing on the patent corpus: data, tools, and new measures
Language :	English
Author, co-author :	Balsmeier, Benjamin [University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA) >]
	Li, Guan-Cheng [> >]
	Assaf, Mohamad [> >]
	Chesebro, Tyler [> >]
	Zang, Guangzheng [> >]
	Fierro, Gabe [> >]
	Johnson, Kevin [> >]
	Lück, Sonja [> >]
	O'Reagan, Doug [> >]
	Yeh, Bill [> >]
	Fleming, Lee [> >]
Publication date :	2018
Journal title :	Journal of Economics and Management Strategy
Publisher :	Blackwell Publishing
Volume :	27
Pages :	535-553
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	1058-6407
e-ISSN :	1530-9134
Permalink :	http://hdl.handle.net/10993/32487
DOI :	10.1111/jems.12259

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Limited access	Balsmeier_et_al-2018-Journal_of_Economics_&_Management_Strategy.pdf		Publisher postprint	2.23 MB	Request a copy

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