Text analytics have advanced with techniques such as entity extraction and characterization, topic and opinion analysis, and sentiment and emotion extraction, but text visualization hasn’t advanced much since the tag cloud.
However, recent visualization techniques for text are providing new capabilities. Richard Brath and Scott Langevin offer an overview of these new ways to organize massive volumes of text, characterize subjects, score synopses, and skim through lots of documents. Together, these techniques can improve workflows for users focused on documents.
Richard Brath is a partner at Uncharted Software. Richard has been designing and building innovative information visualizations for 20 years, ranging from one of the first interactive 3D financial visualizations on the web in 1995 to visualizations embedded in financial data systems used every day by thousands of market professionals. Richard is pursuing a PhD in new data visualization techniques at LSBU.
Scott Langevin is a partner and research scientist at Uncharted Software. Scott has more than 12 years of industry and academic experience. He holds a PhD in computer science with a focus on machine learning. Scott’s research interests include large-scale visual analytics and adaptive user interfaces.
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