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dc.contributor.authorChang, Meng-Wei
dc.contributor.authorCollins, Christopher
dc.date.accessioned2015-07-29T19:34:58Z
dc.date.available2015-07-29T19:34:58Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/1880/50709
dc.description.abstractWe present a novel approach to text visualization called descriptive non-photorealistic rendering which exploits the inherent spatial and abstract dimensions in text documents to integrate 3D non-photorealistic rendering with information visualization. The visualization encodes text data onto 3D models, emphasizing the relative significance of words in the text and the physical, real-world relationships between those words. Analytic exploration is supported through a collection of interactive widgets and direct multitouch interaction with the 3D models. We applied our method to analyze a collection of vehicle complaint reports from the National Highway Traffic Safety Administration (NHTSA), and through a qualitative study, we demonstrate how our system can support tasks such as comparing the reliability of different models, finding interesting facts, and revealing possible causal relations between car parts.en_US
dc.publisherIEEEen_US
dc.titleExploring Entities in Text with Descriptive Non-photorealistic Renderingen_US
dc.typeunknown
dc.description.refereedYesen_US
dc.publisher.urlhttp://dx.doi.org/10.1109/PacificVis.2013.6596122en_US
dc.identifier.doi10.1109/PacificVis.2013.6596122


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