Gesellschaft für Informatik e.V.

Lecture Notes in Informatics

Datenbanksysteme für Business, Technologie und Web (BTW) 2013 - Workshopband P-216, 237-246 (2013).

Gesellschaft für Informatik, Bonn

Copyright © Gesellschaft für Informatik, Bonn


D-VITA: A visual interactive text analysis system using dynamic topic mining

Nikou Günnemann


Recent developments in web technologies like Web 2.0 have led to the generation of massive amounts of data. The rapid growth of data makes knowledge extraction and trend prediction a challenging task. A recent approach for the unsupervised analysis of text corpora is dynamic topic mining. While there is a growing interest in using this technique, interactive analysis systems for dynamic topic mining are still in an early stage. In this paper we present D-VITA, an interactive text analysis system that exploits dynamic topic mining to detect the latent topic structure and topic dynamics in a collection of documents. D-VITA supports end-users in understanding and exploiting the topic mining results, in visualizing the topic dynamics within document collections, and in browsing of documents based on shared topics. We present an application case for a scientific community that uses an instance of D-VITA for trend analysis in their data sources.

Full Text: PDF

Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-610-7

Last changed 12.03.2014 15:16:28