ABSTRACT
Gaining insights into the dynamics of social groups is a difficult analytical task. While expert knowledge can aid in this work, experts are a limited resource and it may not be possible or practical for experts to provide sufficient analysis in an operational timeframe. Whether it is military commanders, market analysts or attorneys trying to understand the social interactions of individuals and groups in their domain, the time, money, effort and manpower required for rapid expert analysis will exceed available budgets for these resources. We describe a system for modeling social groups through the attitudes of its members using unstructured text as the system’s only input. The Cultural Logic Understanding Engine (CLUE) system may be used to augment expert analysis by processing significantly more information than an individual can with traditional methods, but expert support is not required to gain insights from this system.
