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Sample data set exemplifying an idealized data processing pipeline in the Social Sciences and Humanities using Tropy to structure and index digitized items; Transkribus to segment and transcribe; Python, R and OpenRefine to extract named entities; Omeka S to present results.
If you use this dataset, please cite it as below.
Tropy, Transkribus, OpenRefine, named entity recognition, R, training materials, Omeka S, SSH, data pipeline, Python
Tropy, Transkribus, OpenRefine, named entity recognition, R, training materials, Omeka S, SSH, data pipeline, Python
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