
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.
Paper, Forschungsprozess, digitised newspapers, digital source criticism, DHd2024, Webentwicklung, Workshop, NLP, Inhaltsanalyse, Text
Paper, Forschungsprozess, digitised newspapers, digital source criticism, DHd2024, Webentwicklung, Workshop, NLP, Inhaltsanalyse, Text
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
