Brief profile
During his Master's studies in Computational Linguistics at the Ludwig-Maximilians-Universität in Munich, he delved into semantic text classification within the field of natural language processing. Julian Höllig initially supported the team in teaching from December 2020 and has been engaged in a collaborative project since January 2023.
His research involves the analysis of social media texts as well as the automated processing and optimization of audio data. Furthermore, as part of his dissertation, he is researching the synthesis of artificial training data for the development of machine learning models.
Main research areas:
- Hate Speech Detection
- Denoising (of audio data)
- Data synthesis
