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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Item Type: Article
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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