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.identifier.uri | https://doi.org/10.11575/PRISM/46298 | |
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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