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Online writers and journalism media are increasingly combining visualization(and other multimedia content) with narrative text to create narrativevisualizations. Often, however, the two elements are presented independently ofone another. We propose an approach to automatically integrate text andvisualization elements. We begin with a writer's narrative that presumably canbe supported with visual data evidence. We leverage natural languageprocessing, quantitative narrative analysis, and information visualization to(1) automatically extract narrative components (who, what, when, where) fromdata-rich stories, and (2) integrate the supporting data evidence with the textto develop a narrative visualization. We also employ bidirectional interactionfrom text to visualization and visualization to text to support readerexploration in both directions. We demonstrate the approach with a case studyin the data-rich field of sports journalism.

Coupling Story to Visualization: Using Textual Analysis as a Bridge Between Data and Interpretation