Course Contents
Data compiled in corpora, their assemblage and annotation, are the starting point for analyses in the digital humanities. In this course, you will learn the basics of composing corpora, established data selection criteria, and how to enrich corpora with linguistic and literary annotations. We also address the enrichment of corpora with metadata in dataframes.
Since the course is a "practical course", the focus will be on application examples with hands-on sessions and the implementation of a small group project.
Preconditions
Prior fundamental knowledge of programming in Python and the use of digital text analysis tools is advantageous and encouraged. Before the semester begins, please work through Evan Muzzall's (University of Stanford) workshop material, which can be found here: https://eastbayev.github.io/SSDS-TAML/intro.html
A notebook with internet access is required in the sessions.
Further Grading Information
Further information on the course and its organisation will be announced in the 1st session.
- Lehrende: Svenja Guhr