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

Digital Exploration of General Paralysis in the Nineteenth Century

How can we analyse approximately 70 years of content within the British Journal of psychiatry (BJP) amounting to a total of 51.479 pages? This pressing question extends to the French, Dutch, Belgian and German equivalent of this journal. I gathered a corpus of between 250.000 and 300.000 pages. Furthermore, the content inside these journals is … Continued