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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.
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CITATION

A. Booker et al., "Visualizing Text Data Sets," in Computing in Science & Engineering, vol. 1, no. , pp. 26-35, 1999.
doi:10.1109/5992.774838
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