Toward a computational history of universities: Evaluating text mining methods for interdisciplinarity detection from PhD dissertation abstracts


Nanni, Federico ; Dietz, Laura ; Ponzetto, Simone Paolo



DOI: https://doi.org/10.1093/llc/fqx062
URL: https://academic.oup.com/dsh/advance-article-abstr...
Additional URL: https://www.researchgate.net/publication/322970557...
Document Type: Article
Year of publication: 2018
The title of a journal, publication series: Digital Scholarship in the Humanities : DSH
Volume: 33
Issue number: 3
Page range: 612-620
Place of publication: Oxford
Publishing house: Oxford University Press
ISSN: 2055-7671 , 2055-768X
Related URLs: https://madata.bib.uni-mannheim.de/259/
Publication language: English
Institution: School of Business Informatics and Mathematics > Wirtschaftsinformatik III (Ponzetto 2016-)
Subject: 020 Library and information sciences

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Nanni, Federico ORCID: 0000-0003-2484-4331 ; Dietz, Laura ; Ponzetto, Simone Paolo (2018) Toward a computational history of universities: Evaluating text mining methods for interdisciplinarity detection from PhD dissertation abstracts. Digital Scholarship in the Humanities : DSH Oxford 33 3 612-620 [Article]


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