Title: Coupling Story to Visualization: Using Textual Analysis as a Bridge Between Data and Interpretation,
Abstract: Online writers and journalism media are increasingly combining visualization
(and other multimedia content) with narrative text to create narrative
visualizations. Often, however, the two elements are presented independently of
one another. We propose an approach to automatically integrate text and
visualization elements. We begin with a writer's narrative that presumably can
be supported with visual data evidence. We leverage natural language
processing, quantitative narrative analysis, and information visualization to
(1) automatically extract narrative components (who, what, when, where) from
data-rich stories, and (2) integrate the supporting data evidence with the text
to develop a narrative visualization. We also employ bidirectional interaction
from text to visualization and visualization to text to support reader
exploration in both directions. We demonstrate the approach with a case study
in the data-rich field of sports journalism.