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)

Beschreibung:

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

English:

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 (http://textvis.lnu.se/). 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.

Requirements:

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

Leistungsnachweis:

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