Meet the Computational Humanities Group
Manuel Burghardt is head of the Computational Humanities Group. He is also responsible for the B. Sc. and M. Sc. studies Digital Humanities. Besides, Manuel is speaker of the GI division "Computer Science and Digital Humanities". Manuel teaches "Methods and Applications in DH", "Leipzig eHumanities Seminar (Research Seminar)", "Computational Literary Studies", "Drama Mining and Film Analysis" and "Citizen Science". For a detailed CV and a list of publications please visit Manuel's personal page.
- Computer-based Analysis of Movies and Series
- Computational Musicology and Music Information Retrieval
- Drametrics - Quantitative Analysis of Drama
- Computational Approaches to Shakespearean Intertextuality
- Social Media Analytics and Game Studies
- Crowdsourcing in the Digital Humanities
Jochen joined the Computational Humanities Group as a research assistant and lecturer. He is a trained computer scientist with a background in social sciences. In his PhD thesis, Jochen implemented the Canonical Text Service (CTS) Protocol as Part of a Research Infrastructure in the Digital Humanities. Jochen teaches "Statistics for DH", "Drama Mining and Film Analysis" and "Citizen Science".
- Text Mining
- Big Data Analytics
- Statistical Learning
Maximilian Bryan, M.Sc.
Max joined the Computational Humanities Group as a research assistant and lecturer. He is a trained computer scientist with a focus on NLP and machine learning. In his his PhD thesis, Max is investigating the potential of novel neural network architectures. Max teaches "Neural Networks for DH", "Methods and Applications in DH" and "Statistical Learning".
- Neural Network Architectures
- Data/Feature Visualization
- Reinforcement Learning
- Web Development
Bernhard Liebl, Dipl.-Inf.
Bernhard is a trained computer scientist with a background in English philology. He joined the Computational Humanities Group as a research assistant in the DFG project "More than a Feeling: Media Sentiment as a Mirror of Investors’ Expectations at the Berlin Stock Exchange, 1872-1930" . Bernhard will investigate state-of-the-art OCR approaches to digitize historical financial newspapers and develop text mining and sentiment analysis methods to detect economic patterns in these articles.
- Text Mining and Natural Language Processing
- Machine Learning and Neural Networks
- Sentiment Analysis
- Computer Graphics
Thomas has a M. Sc. in Media Informatics and works at the Regensburg University. For his Master's thesis he was awarded with the DARIAH-DE DH Award 2018. Thomas is associated with the Computational Humanities Group through a number of joint research activities in the field of sentiment analysis for literary texts. In his PhD project on sentiment analysis, Thomas builds on a cooperation between the Computational Humanities Group (Leipzig) and the Media Informatics Group (Regensburg).
- (Multimodal) Sentiment Analysis
- Text Mining and Drametrics
- User Experience and Human Computer Interaction
Niels is associated with the Computational Humanities Group mainly through joint research activities in the field of computer-based film studies. He is also an expert on digital publishing and wrote a dissertation on "Scholarly Publications During and After the Digital".
- Computer-based Methods for Film Studies
- Digital Publishing in the Humanities
- Applications and Implications of Artifical Intelligence in the Humanities