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Issue No.04 - July/August (1999 vol.1)
pp: 26-35
ABSTRACT
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.
CITATION
Andrew Booker, Michelle Condliff, Mark Greaves, Fred B. Holt, Anne Kao, Daniel J. Pierce, Stephen Poteet, Yuan-Jye Jason Wu, "Visualizing Text Data Sets", Computing in Science & Engineering, vol.1, no. 4, pp. 26-35, July/August 1999, doi:10.1109/5992.774838
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