topic modelling; text mining; history of psychiatry
Abstract :
[en] Historians are confronted with an overabundance of sources that require new perspectives and tools to make use of large-scale corpora. Based on a use case from the history of psychiatry this paper describes the work of an interdisciplinary team to tackle these challenges by combining different NLP tools with new visual interfaces that foster the exploration of the corpus. The paper highlights several research challenges in the preparation and processing of the corpus and sketches new insights for historical research that were gathered due to the use of the tools.
Research center :
- Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital Research Infrastructure (DRI) - Luxembourg Centre for Contemporary and Digital History (C2DH) > Contemporary European History (EHI)
Disciplines :
History Arts & humanities: Multidisciplinary, general & others Computer science
Author, co-author :
Andersen, Eva ; University of Luxembourg > Luxembourg Center for Contemporary and Digital History (C2DH)
Biryukov, Maria ; University of Luxembourg > Luxembourg Center for Contemporary and Digital History (C2DH)
Kalyakin, Roman; University of Luxembourg > Luxembourg Center for Contemporary and Digital History (C2DH)
Wieneke, Lars ; University of Luxembourg > Luxembourg Center for Contemporary and Digital History (C2DH)
External co-authors :
no
Language :
English
Title :
How to read the 52.000 pages of the British Journal of Psychiatry? A collaborative approach to source exploration
Publication date :
2020
Journal title :
Journal of Data Mining and Digital Humanities
ISSN :
2416-5999
Publisher :
Nicolas Turenne, France
Special issue title :
HistoInformatics: Computational Approaches to History
Peer reviewed :
Peer Reviewed verified by ORBi
FnR Project :
FNR10929115 - Digital History And Hermeneutics, 2015 (01/03/2017-31/08/2023) - Andreas Fickers
