Published February 21, 2024
| Version v1
Conference paper
Open
Machine Learning to Read Yesterday's News. How semantic enrichments enhance the study of digitised historical newspapers
Contributors
Data managers:
- 1. Universität Trier
- 2. Universität Luxemburg
- 3. Universität Passau
- 4. Digital Humanities im deutschsprachigen Raum
- 5. Universität zu Köln
Description
In this workshop we will use the impresso app to explore opportunities and challenges which accompany the semantic enrichment of historical newspapers. We will reflect on the added value of Natural Language Processing techniques such as topic modelling, text reuse detection and word embeddings for historians in conjunction with an introduction and critical assessment of design solutions for the scalable reading of such enriched sources. We target researchers at all (digital) skill levels.
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W04_BUNOUT_Estelle_Machine_Learning_to_Read_Yesterday_s_News__Ho.pdf
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Additional details
Related works
- Is part of
- Book: 10.5281/zenodo.10686564 (DOI)