Visual Text Analytics using Semantic Networks and Interactive 3D Visualization

dc.contributor.authorDrieger, Philippen_US
dc.contributor.editorKresimir Matkovic and Giuseppe Santuccien_US
dc.date.accessioned2013-11-08T10:21:28Z
dc.date.available2013-11-08T10:21:28Z
dc.date.issued2012en_US
dc.description.abstractFacing the growth of textual information, the analysis of unstructured text data remains a challenge for visual analytics. Most text visualizations are based on models that use word frequencies for text vectorization and representation. As semantics reveal from word relations, we propose an integrated visual text analytics approach that utilizes semantic networks in an interactive 3D workspace for exploration and analysis. Semantic networks act as an intermediary structure for data modeling and interactive visualization to support the visual analytics process. Focussing on the integration of text analysis and visualization, this paper describes our system design and its preliminary implementation. Discussing typical usage scenarios and a practical field-test, we present a strategy for text exploration and analysis to illustrate the usage of our system in an exemplary use case.en_US
dc.description.seriesinformationEuroVA 2012: International Workshop on Visual Analyticsen_US
dc.identifier.isbn978-3-905673-89-0en_US
dc.identifier.urihttps://doi.org/10.2312/PE/EuroVAST/EuroVA12/043-047en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.6]: Methodology and Techniques Interaction techniques-Document and Text Processing [I.7.0]: General-Information Interfaces and presentation [H.5.2]: User interfacesen_US
dc.titleVisual Text Analytics using Semantic Networks and Interactive 3D Visualizationen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
043-047.pdf
Size:
1.79 MB
Format:
Adobe Portable Document Format
Collections