DeXTER (DeepTextMiner): A deep learning, critical workflow to contextually enrich digital collections and visualise them

Reference : DeXTER (DeepTextMiner): A deep learning, critical workflow to contextually enrich dig...


	Document type :	Computer developments : Software
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/49585

Title :	DeXTER (DeepTextMiner): A deep learning, critical workflow to contextually enrich digital collections and visualise them
Language :	English
Author, co-author :	Viola, Lorella [University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > DHARPA]
	Fiscarelli, Antonio M. [> >]
Publication date :	2021
Creation date :	2021
Publisher :	Zenodo
Keywords :	[en] Digital humanities ; Transparency ; Deep learning
Research centres :	Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History & Historiography (DHI)
Funders :	Fonds National de la Recherche - FnR
Target :	Professionals ; Students
Permalink :	http://hdl.handle.net/10993/49585
DOI :	10.5281/zenodo.4633404
Other URL :	https://doi.org/10.5281/zenodo.4633404
FnR project :	FnR ; FNR13307816 > Sean Takats > DHARPA > Digital History Advanced Research Projects Accelerator > 01/10/2019 > 30/09/2024 > 2019

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