Natural Language Processing
Digital Humanities and the application and develoment of Natural Language Processing methods is an active research field in the Data Science Chair. In projects like LitBERT, Kallimachos or CLiGS we collaborate with literary scholars and work on literary and NLP research questions. Current research topics involve for example the detection of direct speech, the classification of text types or sentiment analysis in a literary context.
The following staff member have open topics for practica, bachelor and master theses:
| Natural Language Processing (for Novels), Digital Humanities | Albin Zehe |
| knowledge graphs, unstructured knowledge representations | Janna Omeliyanenko |
| NLP, Aspect-based Sentiment Analysis, Pointer Networks | Jan Pfister |
In the case of excellent performance there is also the chance to submit the thesis as an article to a computer science conference and to be co-author on a scientific publication early in your studies!
