Data Theory, Discourse Mining and Thresholds
Sallach, David L. (Argonne National Laboratory) | Ozik, Jonathan (Argonne National Laboratory)
The availability of online documents coupled with emergent text mining methods has opened new research horizons. To achieve their potential, mining technologies need to be theoretically focused. We present data theory as a crucial component of text mining, and provide a substantive proto- theory from the synthesis of complex multigames, prototype concepts, and emotio-cognitive orientation fields. We discuss how the data theory presented informs the application of text mining to mining discourse(s) and how, in turn, this allows for modeling across contextual thresholds. Finally, the relationship between discourse mining, data theory, and thresholds is illustrated with an historical example, the events surrounding the 1992 civil war in Tajikistan.
Nov-3-2009
- Country:
- Asia
- Central Asia (0.04)
- Japan > Honshū
- Kantō > Tokyo Metropolis Prefecture > Tokyo (0.04)
- Taiwan (0.04)
- Tajikistan > Dushanbe
- Dushanbe (0.04)
- Europe
- Norway > Norwegian Sea (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.05)
- Oxfordshire > Oxford (0.05)
- North America > United States
- California
- Los Angeles County > Los Angeles (0.04)
- San Diego County > San Diego (0.04)
- San Francisco County > San Francisco (0.04)
- Santa Clara County > Stanford (0.04)
- District of Columbia > Washington (0.04)
- Illinois > Cook County
- Chicago (0.05)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- New Jersey > Mercer County
- Princeton (0.04)
- New York > New York County
- New York City (0.14)
- Virginia > Fairfax County
- Fairfax (0.04)
- California
- Asia
- Industry:
- Government (1.00)
- Materials > Metals & Mining (0.34)
- Technology: