DTU-Seminar: Mining ethnicity: Discourse-driven topic modelling (DDTM) of immigrant discourses in the United States, 1898-1920

If you want to participate, please send an email to vanessa.napolitano@ext.uni.lu in order to get the Webex-link. Topic modelling (TM) is a computational, statistical method to discover patterns and topics in large collections of (unstructured) text (e.g., emails, book chapters, newspapers’ articles, letters, reports). Its main value lies in the possibility to find semantic patterns … Continued

Mining ethnicity: Discourse-driven topic modelling (DDTM) of immigrant discourses in the United States, 1898-1920

DTU-Seminar conducted by Lorella Viola (DHARPA, C²DH) 27 May 2020 | 14:-15:00 | Webex-Platform If you want to participate, please send an email to vanessa.napolitano@ext.uni.lu in order to get the Webex-link. Topic modelling (TM) is a computational, statistical method to discover patterns and topics in large collections of (unstructured) text (e.g., emails, book chapters, newspapers’ … Continued

Christof Schöch lectures on the Use and Abuse of Word Embedding

4 December 2019 | 14.00-15.00 | Speaker: Christof Schöch, Professor of Digital Humanities at the University of Trier   Word embeddings modelling is currently at the cutting edge of natural language processing, with a significant amount of research exploring its opportunities and limitations. However, such research mainly comes from the computer science community. While digital humanists have … Continued

Models and Perspectives in Digital History

Digital Historians often manifests in two forms: a person with a mixed background in History and Computer Science or as a collaboration between a historian and a computer scientist. The latter, in particular, comes with combining challenges such as finding a common vocabulary, negotiating new forms of knowledge, different writing styles and in general two … Continued