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WORKSHOP | Digital Text Mining in the Humanities: Theoretical Considerations and Hands-On Methods

Roman Birke (Regensburg)

Monday, 03 June 2024 10:00

The workshop offers an introduction into text-mining for research in the humanities. It provides reading on the theoretical and methodological considerations around digital methods and introduces students on the application of such methods. The workshop will discuss issues that might arise in the process of using digital tools like: How to find digital sources? How to ensure that source material can be correctly transferred into computer-readable databases of text? Which assumptions might be built into algorithms that can cause problems for analytical approaches in the humanities? How to balance the digital investigation of large amounts of text with providing contextual narratives and a careful reading of primary sources? The workshop will also provide live demonstrations of how to analyse text with the free Development Environment “R Studio” which uses the programming language R. At the end of the workshop students will have access to literature that will enable them to participate in in-depth discussion about the advantages and disadvantages of digital methods, will be familiar with best-practice approaches of digital methods in the humanities, and will be provided with entry-points for further learning to conduct independent research based on text-mining methods in R Studio. The workshop starts with the assumption that participants have never before written a single line of code and welcomes everybody who is interested in critically reflecting upon digital methods in the humanities and wants to learn the basics of programming.

To register for this workshop, please send an email to graduiertenschule@ur.de by 2 April 2024 at the latest.

Roman Birke, Research Associate at the Department for Interdisciplinary and Multiscalar Area Studies (DIMAS), Universität Regensburg

GS OSESUR, Landshuter Str. 4, 93047 Regensburg, room 122

Department for Interdisciplinary and Multiscalar Area Studies (DIMAS)