Invitation to a talk: ‘Manual Content Analysis and Machine Learning’, June 9th 2-3pm
6. May 2022
On behalf of the Graduate Campus-funded ‘Language & Passive Sensing Peer Mentoring Group’ and the ‘Digital & Mobile Health Group’ (Prof. Viktor von Wyl), we are delighted to invite you to a talk by Dr. Felix Hamborg on ‘Manual Content Analysis and Machine Learning’.
The talk is being organized in close collaboration with the DSI Health Community and will take place on the 9th of June at 2-3PM via Zoom ( https://uzh.zoom.us/j/63612711322?pwd=VG5sVy9IT2pQZXI1QmxrWlBkMkNldz09 ).
Dr. Hamborg’s research focuses on natural language processing and machine learning. At present, he is a visiting Researcher at the Machine Learning Group, Humboldt University of Berlin.
Talk description: ‘Manual Content Analysis and Machine Learning’
This talk will overview our research on making content analyses more efficient by using state-of-the-art natural language processing techniques, such as BERT. First, I will summarize our work on the automated identification of media bias in news articles. The results led us to attempt to extend the approach from this single use case to further, ideally “any,” use cases that involve content analysis in social science research. The talk’s second part will then be about this extension.
Please feel free to share the invitation with any colleagues who might be interested.
Jana Sedlakova, Sonja Schläfer, Christina Haag, Viktor von Wyl