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Dr. Christoph Kling

B 114
+49 221 47694-459

My core research topic is about topics - probabilistic topic models, to be precise!

Topic models typically detect topics by co-occurrences of words on text documents. I include contexts - such as geographical coordinates - to detect co-occurrences of words in documents and the context space.
Besides topic modelling, I'm generally interested in probabilistic modelling for aiding research in the social sciences.

In my free time, I'm politically active (e.g. fighting for data privacy), am member of a humanistic club and go biking


Kling, C. C., Kunegis, J., Sizov, S., & Staab, S. (2014). Detecting Non-Gaussian Geographical Topics in Tagged Photo Collections. In WSDM'14: Proceedings of the 7th International Conference on Web Search and Data Mining. [Link]
Kling, C., & Gottron, T. (2011). Detecting Culture in Coordinates: Cultural Areas in Social Media. In DETECT'11: Proceedings of the International Workshop on DETecting and Exploiting Cultural diversiTy on the Social Web (pp. 11-15).
Kling, C., Sizov, S., & Staab, S. (2011). Virtual Field Research with Social Media: A Pilot Case of Biometeorology. In Poster Proceedings of ACM WebSci '11 - Third Int. Conference on Web Science. Koblenz.