Article (Scientific journals)
Machine learning and natural language processing on the patent corpus: data, tools, and new measures
Balsmeier, Benjamin; Li, Guan-Cheng; Assaf, Mohamad et al.
2018In Journal of Economics and Management Strategy, 27, p. 535-553
Peer Reviewed verified by ORBi
 

Files


Full Text
Balsmeier_et_al-2018-Journal_of_Economics_&_Management_Strategy.pdf
Publisher postprint (2.28 MB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Quantitative methods in economics & management
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
External co-authors :
yes
Language :
English
Title :
Machine learning and natural language processing on the patent corpus: data, tools, and new measures
Publication date :
2018
Journal title :
Journal of Economics and Management Strategy
ISSN :
1530-9134
Publisher :
Blackwell Publishing
Volume :
27
Pages :
535-553
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Entrepreneurship and Innovation / Audit
Available on ORBilu :
since 03 October 2017

Statistics


Number of views
371 (23 by Unilu)
Number of downloads
1 (1 by Unilu)

Scopus citations®
 
39
Scopus citations®
without self-citations
35
OpenCitations
 
34
WoS citations
 
37

Bibliography


Similar publications



Contact ORBilu