Identification of social scientifically relevant topics in an interview repository: a natural language processing experiment
Gárdos, Judit and Egyed-Gergely, Júlia and Horváth, Anna and Pataki, Balázs and Vajda, Róza and Micsik, András (2024) Identification of social scientifically relevant topics in an interview repository: a natural language processing experiment. JOURNAL OF DOCUMENTATION, 80 (2). pp. 354-377. ISSN 0022-0418 10.1108/JD-12-2022-0269
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Socialtopicsininterviewrepository.pdf - Accepted Version Download (1MB) |
Official URL: https://doi.org/10.1108/JD-12-2022-0269
Item Type: | Article |
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Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
Divisions: | Department of Distributed Systems |
SWORD Depositor: | MTMT Injector |
Depositing User: | MTMT Injector |
Date Deposited: | 25 Apr 2024 13:56 |
Last Modified: | 25 Apr 2024 13:57 |
URI: | https://eprints.sztaki.hu/id/eprint/10718 |
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