software . 2021

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

Lorella Viola; Antonio M. Fiscarelli;
Open Source English
  • Published: 01 Jan 2021
  • Publisher: Zenodo
Abstract
<p><a href="https://github.com/lorellav/DeXTER-DeepTextMiner/files/6197656/Source.code.zip">Source code.zip</a></p> <p>DeXTER (DeepTextMiner) is a deep learning, critical workflow to contextually enrich digital collections and interactively visualise them. It is task-oriented (as opposed to result-oriented) and it is is designed to be generalisable and interoperable (i.e., it is data-set independent). To implement its interoperability, we used language-agnostic algorithms to encourage scholars to replicate the methodology with their own data-sets. Currently, DeXTER is based on&nbsp;<a href="http://doi.org/10.5281/zenodo.4596345"><em>ChroniclItaly 3.0</em></a>&nb...
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Subjects
ACM Computing Classification System: GeneralLiterature_MISCELLANEOUS
free text keywords: Deep learning, Digital Humanities, Digital Heritage, Enrichment, Migration
Communities
Digital Humanities and Cultural Heritage
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Software . 2021
Provider: Zenodo
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