Quantifying the genericness of trademarks using natural language processing: an introduction with suggested metrics
Crossref DOI link: https://doi.org/10.1007/s10506-021-09291-7
Published Online: 2021-06-02
Published Print: 2022-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shackell, Cameron http://orcid.org/0000-0002-6829-838X
De Vine, Lance
Text and Data Mining valid from 2021-06-02
Version of Record valid from 2021-06-02
Article History
Accepted: 25 May 2021
First Online: 2 June 2021
Declarations
:
: The authors declared that they have no conflict of interest.