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Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Mining the Past: A Comparative Study of Classical and Neural Topic Models on Historical Newspaper Archives
MURUGARAJ, Keerthana
;
LAMSIYAH, Salima
;
DURING, Marten
et al.
2025
•
In
Association for Computational Linguistics
Peer reviewed
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https://hdl.handle.net/10993/64861
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Keywords :
Topic Modeling; Comparative Study; Historical Text Analysis
Disciplines :
Computer science
Author, co-author :
MURUGARAJ, Keerthana
;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
LAMSIYAH, Salima
;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
DURING, Marten
;
University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography
THEOBALD, Martin
;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
Mining the Past: A Comparative Study of Classical and Neural Topic Models on Historical Newspaper Archives
Publication date :
May 2025
Event name :
Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities
Event date :
3-4 May 2025
Audience :
International
Main work title :
Association for Computational Linguistics
Main work alternative title :
[en]
Association for Computational Linguistics
Publisher :
Association for Computational Linguistics, Albuquerque, United States
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 04 May 2025
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