A real-time network-based approach for analysing best–worst data types
Crossref DOI link: https://doi.org/10.1007/s43546-021-00181-3
Published Online: 2022-01-07
Published Print: 2022-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Münnich, Ákos
Vargáné Karsai, Emese
Nagy, Jenő https://orcid.org/0000-0001-8434-4422
Funding for this research was provided by:
University of Debrecen
Text and Data Mining valid from 2022-01-01
Version of Record valid from 2022-01-07
Article History
Received: 20 July 2021
Accepted: 16 November 2021
First Online: 7 January 2022
Declarations
:
: The authors declare no conflict of interests.