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The EviDENce Framework tool Even in the era of digitized collections, scholarly interaction with source materials – i.e. close reading – remains a key element of humanities research, while standard digital query methods are often perceived as restrictive. The EviDENce corpus creation framework provides scholars with a tool to intuitively interact with a collection, starting from manually selected elements and employing abstract high level similarity measures to suggest further relevant source material for further inspection – Efficient close reading with machine-learning support ---------- This video demonstrates the capabilities and use of the EviDENce framework tool
Video demo of EviDENce Framework tool
machine learning, text collections, close-reading, CLARIAH, Getuigen verhalen, Information retrieval, Open Software, Digital humanities, Netherlands eScience Center
machine learning, text collections, close-reading, CLARIAH, Getuigen verhalen, Information retrieval, Open Software, Digital humanities, Netherlands eScience Center
| 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 |
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