E. Thomas Ewing

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We present ThemeDelta, a visual analytics system for extracting and visualizing temporal trends, clustering, and reorganization in time-indexed textual datasets. ThemeDelta is supported by a dynamic temporal segmentation algorithm that integrates with topic modeling algorithms to identify change points where significant shifts in topics occur. This(More)
A collaborative project combines innovative algorithmic techniques with traditional textual analysis of newspapers to learn more about past health events, guiding preparedness for future crises. H ealth authorities are continually on the alert for reports of deadly disease outbreaks, such as the recent H7N9 avian flu epidemic in China, to prepare for a(More)
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