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Proceedings Article

Guided text analysis using adaptive visual analytics

[+] Author Affiliations
Chad A. Steed, Christopher T. Symons, Frank A. DeNap, Thomas E. Potok

Oak Ridge National Lab. (USA)

Proc. SPIE 8294, Visualization and Data Analysis 2012, 829408 (January 24, 2012); doi:10.1117/12.904904
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From Conference Volume 8294

  • Visualization and Data Analysis 2012
  • Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen; Robert Kosara; Mark A. Livingston; Jinah Park; Ian Roberts
  • Burlingame, California, United States | January 22, 2012

abstract

This paper demonstrates the promise of augmenting interactive visualizations with semi-supervised machine learning techniques to improve the discovery of significant associations and insight in the search and analysis of textual information. More specifically, we have developed a system-called Gryffin-that hosts a unique collection of techniques that facilitate individualized investigative search pertaining to an ever-changing set of analytical questions over an indexed collection of open-source publications related to national infrastructure. The Gryffin client hosts dynamic displays of the search results via focus+context record listings, temporal timelines, term-frequency views, and multiple coordinated views. Furthermore, as the analyst interacts with the display, the interactions are recorded and used to label the search records. These labeled records are then used to drive semi-supervised machine learning algorithms that re-rank the unlabeled search records such that potentially relevant records are moved to the top of the record listing. Gryffin is described in the context of the daily tasks encountered at the Department of Homeland Security's Fusion Centers, with whom we are collaborating in its development. The resulting system is capable of addressing the analysts information overload that can be directly attributed to the deluge of information that must be addressed in search and investigative analysis of textual information.

© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Chad A. Steed ; Christopher T. Symons ; Frank A. DeNap and Thomas E. Potok
"Guided text analysis using adaptive visual analytics", Proc. SPIE 8294, Visualization and Data Analysis 2012, 829408 (January 24, 2012); doi:10.1117/12.904904; http://dx.doi.org/10.1117/12.904904


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