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In this paper we describe a methodology for visualizing large collections of text documents. Our visualization methodology provides a means by which users can alter perspectives and interpret the visualization. This results in an ability to quickly identify trends, outliers, possible clusters while tuning for a particular context.
Andrew Booker, Fred B. Holt, Daniel J. Pierce, Mark Greaves, Yuan-Jye Jason Wu, Anne Kao, Michelle Condliff, Stephen Poteet, "Visualizing Text Data Sets", Computing in Science & Engineering, vol. 1, no. , pp. 26-35, July/August 1999, doi:10.1109/5992.774838
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