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Pandore: a toolbox for digital humanities text-based workflows

Authors: Motasem Alrahabi; Valentina Fedchenko; Ljudmila Petkovic; Glenn Roe;

Pandore: a toolbox for digital humanities text-based workflows

Abstract

We present Pandore, an online toolbox for pre- and post-processing of textual data. This freely accessible platform allows humanities students and researchers, with little or no prior knowledge of computer programming, to perform a series of important and recurrent tasks crucial for the editing, enrichment and mining of digital texts.

Keywords

Paper, OCR/HTR, Named Entities Recognition, Text annotation, optical character recognition and handwriting recognition, Mapping, text mining and analysis, Humanities computing, Poster, natural language processing, Toolbox, artificial intelligence and machine learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
Average
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37
29
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