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Approaching Indigenous Australian History With Text Mining Methods
Approaching Indigenous Australian History With Text Mining Methods
Funding: Fonds National de la Recherche University of Luxembourg
Start Date: Jan. 1, 2017
End Date: May 15, 2021
Description
Despite their remarkable value, autobiographies appear to remain one of the most under-utilized historical resources. The proposed research project in digital humanities will apply computational Distant Reading-methods (natural language processing in general and topic modeling in particular) as a complement to traditional ”close reading” of Indigenous Australian autobiographies, aiming to identify meaningful language use patterns in the context of social environment and historical events. Cooperation Partner: C2DH.
See more at: https://acc.uni.lu/index.php?page=projects
Members
- SCHOMMER, Christoph (Principal Investigator)
- KAMLOVSKAYA, Ekaterina (Doctoral Candidate)