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Visualizing text data sets

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8 Author(s)
Booker, A. ; The Boeing Co., Seattle, WA, USA ; Condliff, M. ; Greaves, Mark ; Holt, F.B.
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The authors present a visualization methodology which provides users with a way to alter perspectives and interpret visualization so that they can quickly identify trends, outliers, and possible clusters while tuning for a particular context. The technology developed for text mining is called Trust, or Text Representation Using Subspace Transformation. Trust provides an analysis environment that can supply meaningful representations of text documents; it also supports the functional ability to visually present a collection of documents in a meaningful context that allows for user insight and textual content. Contrary to other similar technologies, Trust applies a novel analysis ability that allows different subspaces to generate views, providing content information for the basis of the visualization and allowing an analyst to specify subspaces for it based on content

Published in:

Computing in Science & Engineering  (Volume:1 ,  Issue: 4 )