Project Visual Text Analytics

Prof. Dr. Bernd Fröhlich
Dr. Martin Potthast
Dipl.-Mediensys.wiss. Patrick Riehmann


15 Credits (Medieninformatik (M.Sc.), PV29)
15 Credits (Computer Science and Media (M.Sc.), PV 11)


Im Rahmen des Projekts werden Visualisierungstechniken und Interfaces für die Analyse Text-basierter Daten auf einem großen, hoch aufgelösten Display entwickelt.


The focus of this project is the design and development of interfaces and visualization metaphors for the collaborative analysis of textual data on a large, high-resolution display. During the winter semester, such a display (resolution: 7680x4320 pixels, size: 4m x 2.3m) will become available at the Digital Bauhaus Lab.

During the first stage of the project we will analyse and categorize the over 100 existing approaches for visualizing textual data ( In parallel, solutions for scaling real-time text visualizations to high-resolution displays will be evaluated and prototyped.

In a second stage we will refine existing or design new visualization and interaction techniques for a number of big data problems (analysis of Twitter crawls, sentiment analysis of reviews, Wikipedia text reuse analysis, … ). Such publicly available document collections and log files as well as social media streams serve as a testbed for our visualization and interface designs.



Die Vorlesungen in Computergrafik, Visualisierungen, Suchtechnologie und Information Retrieval sind sinnvolle Voraussetzungen für das Projekt.


Lectures in computer graphics, visualization and web search and information retrieval are an ideal prerequisite for the project.


Aktive Mitarbeit im Projekt, 2-3 Vorträge, Abschlusspräsentation


Active participation in the project, two to three intermediate presentations, presentation of final project results

Richtet sich an:

B.Sc. Medieninformatik, M.Sc. Medieninformatik / Computer Science and Media