evidence
doc2vec-based assisted close reading with support for abstract concept-based search and context-based search
Ego Documents Events modelling – how individuals recall mass violence
Much of our historical knowledge is based on oral or written accounts of eyewitnesses, particularly in cases of war and violence, when regular ways of documentation and record keeping are often absent. EviDENce studies how eyewitnesses have reported on violence, and how this may have changed over time. We use a collection of nearly 500 oral history interview transcripts about the Second World War as well as the ego-documents (diaries, memoires, letters, autobiographies) available in Nederlab, covering a time span of 5 centuries.
Whereas humanities scholars are good at assessing texts for their relevance in relation to a particular topic or research question such as this, automating this assessment process, for example for distant reading or creating large corpora, is known to be problematic, especially when it comes to implicit mentions. EviDENce compares existing NLP methods to detect fragments containing mentions of such an ambiguous concept as violence, in a way that meets the standards of historical research.
Morphological encoding for texts in Syriac using machine learning
An interactive web-based platform to investigate the dynamics of global corporate networks
Digital humanities and the Arabic-Islamic corpus
Visual analytics for the world’s library data
Word vector text mining change and continuity in conceptual history
A new approach to the history of parliamentary communication and discourse
Recording history in large news streams
Facilitating and supporting large-scale text mining in the field of digital humanities
doc2vec-based assisted close reading with support for abstract concept-based search and context-based search
A flexible solution to build text mining workflows that allows you to quickly combine Natural Language Processing tools from different sources.