Exploring Entities in Text with Descriptive Non-photorealistic Rendering

dc.contributor.author	Chang, Meng-Wei
dc.contributor.author	Collins, Christopher
dc.date.accessioned	2015-07-29T19:34:58Z
dc.date.available	2015-07-29T19:34:58Z
dc.date.issued	2013
dc.description.abstract	We 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.description.refereed	Yes	en_US
dc.identifier.doi	10.1109/PacificVis.2013.6596122
dc.identifier.uri	http://hdl.handle.net/1880/50709
dc.publisher	IEEE	en_US
dc.publisher.url	http://dx.doi.org/10.1109/PacificVis.2013.6596122	en_US
dc.title	Exploring Entities in Text with Descriptive Non-photorealistic Rendering	en_US
dc.type	unknown

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