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Interactive Visualization of Streaming Text Data with Dynamic Maps
2013
Journal of Graph Algorithms and Applications
The many endless rivers of text now available present a serious challenge in the task of gleaning, analyzing and discovering useful information. In this paper, we describe a methodology for visualizing text streams in real time. The approach automatically groups similar messages into "countries," with keyword summaries, using semantic analysis, graph clustering and map generation techniques. It handles the need for visual stability across time by dynamic graph layout and Procrustes projection
doi:10.7155/jgaa.00302
fatcat:57ab22fmcjfrphjcyeckznrlzq