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Machine Learning to Read Yesterday's News. How semantic enrichments enhance the study of digitised historical newspapers

Authors: Bunout, Estelle; Düring, Marten;

Machine Learning to Read Yesterday's News. How semantic enrichments enhance the study of digitised historical newspapers

Abstract

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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Keywords

Paper, Forschungsprozess, digitised newspapers, digital source criticism, DHd2024, Webentwicklung, Workshop, NLP, Inhaltsanalyse, Text

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