Authors:
Florian Holz
;
Sven Teresniak
;
Gerhard Heyer
and
Gerik Scheuermann
Affiliation:
University of Leipzig, Institute of Computer Science, Germany
Keyword(s):
Visual Analytics, Document Collection summarization, Browsing document collections, Topic detection, Change of Meaning, Volatility, Time-sliced corpora.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Algorithms and Technologies
;
Computer Vision, Visualization and Computer Graphics
;
Context
;
General Data Visualization
;
Paradigm Trends
;
Software Engineering
;
Visual Data Analysis and Knowledge Discovery
Abstract:
Large digital diachronic document collections are a central source of information in science, business, and for the general public. One challenge for the efficient visualization of these collections is the automatic calculation and visualization of the main topics. These topics can then serve as the basis for an overview of the content and any subsequent
interactive visual analysis. We introduce the new language processing concept of volatility of terms measured as the change of the context of terms. We demonstrate that volatility can serve as an excellent basis for the visual overview of large collections using two different examples.