A Text Mining System for Modeling Social Dynamics in Groups
ABSTRACT: Text-based communication can reveal important information about people"s thoughts, motives, and relationships with others. However, developing objective, efficient, and unobtrusive tools to determine group intent and forecast future behaviors remains a significant challenge. We propose a novel framework for extracting metrics of group dynamics from discourses and producing predictive models of social processes among individuals and organizations. This framework is a large-scale, dynamic approach for maximizing the ability of intelligence analysts to analyze text-based communication to assess social dynamics for a given group and predict current belief states and likely intended actions. BENEFIT: IAI"s proposed technology can be directly applied to the military and intelligence contexts, such as domestic and international security regulations. The correlation and reasoning capabilities can help analysts understand and forecast group behaviors or regions that are prone to conflicts. Our methods can provide very fast and efficient markers of basic social dynamics, and these tools will help analysts understand past actions and cognitions of individuals and groups. In the commercial sector we anticipate that the resulting technology will have wide applications in remote event monitoring, crime identification and prevention, corporate security, law enforcement, and business negotiations.
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Director, Contracts and Proposals
Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD -
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