Data analysis and visualisation for Deutsche Welle

Within a research collaboration with Deutsche Welle (DW), our student assistants Max Botta, Marcel Pleyer and Tobias Reumann developed under supervision of Prof. Dr. Kai Eckert a data analysis and visualisation tool that helps DW editors to manage and optimise the dw.com website with a high volume of daily articles in 30 languages.

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Student assistants (Hiwis) wanted: Apply here!

WISS at DaWaK2020

Thu, October 1, 2020

DaWak, the annual International Conference on Big Data Analytics and Knowledge Discovery, is a high-quality forum for researchers, practitioners and developers in the field of Big Data Analytics, in a broad sense. This year, at DaWak2020, WISS contributed with a paper co-authord by Dr Maral Dadvar and Prof. Dr. Kai Eckert on Cyberbullying Detection in Social Networks Using Deep Learning Based Models .

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How is your mood during the Corona Crisis?

Tue, May 12, 2020

Our third semester information science students develped a barometer app within the lecture “Web Programming” by Prof. Eckert. It is publicly available and can be used to get a quick feedback to a question like “How are you today?”.

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Benjamin Schnabel joins WISS

Wed, April 15, 2020

We welcome Benjamin Schnabel as new doctoral student in our group. He aims at conducting a doctoral thesis in Digital Humanities, at the intersection of Jewish Studies and Information Science/Computer Science.