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

For the first time, historians of higher education have large data sets of primary sources that reflect the complete output of academic institutions at their disposal. To analyze this unprecedented abundance of digital materials, scholars have access to a large suite of computational methods develop...

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Bibliographic Details

Published in:	Digital Scholarship in the Humanities Vol. 33; no. 3; pp. 612 - 621
Main Authors:	Nanni, Federico, Dietz, Laura, Ponzetto, Simone Paolo
Format:	Article
Published:	Oxford University Press / USA Sep2018
Subjects:	Text mining Interdisciplinary education Academic dissertations Natural language processing Big data
Online Access:	View this record in EBSCOhost