Iuliia Dudar

Iuliia Dudar is a Researcher at the University of Trier's Computational Linguistics and Digital Humanities department since January 2021. She previously worked as a research assistant in the MiMoText and Zeta and Company projects.

Her research focuses on:

• Automatic text analysis methods
• Machine learning applications
• Digital humanities approaches
• Sentiment analysis techniques
• Medical informatics integration

She is currently affiliated with Prof. Dr. Christof Schöch's chair and contributes to the Zeta and Company project on distinctiveness measures for digital literary studies.