The content of the course “Digital Humanities” (K4DH) is thematically ordered and consists of the following modules:
- a theoretical introduction to allow the student to gain insight into language technology systems (such as sentiment detection, machine translation, retrieval systems, etc.) and their application in the domain of human sciences.
- a theoretical introduction to machine learning systems and hands-on exercises with the toolkit Weka.
- learn how to compile a corpus and how to annotate the corpus by means of dedicated annotation software
- an introduction to Python in order to learn how to program basic scripts that allow to extract specific information from corpora. This knowledge is then applied to build a lexicon-based system for sentiment analysis.