Abstract: Co-clustering based on generalized conceptual relationships can automatically detect story forms incorporating archetypes/targets and actions. Co-clustering can help in identifying similarities that exist in low-dimensional sub-spaces of sparse data such as textual paragraphs. Through co-clustering, the clusters themselves and their characteristic features are identifiable which can be useful in describing and summarizing their contents. The residual error of factorization with concept-based features is significantly lower than the error with prior keyword-based features. Qualitative evaluations also suggest that concept-based features yield more coherent, distinctive and interesting story forms compared to those produced by using prior keyword-based features.

Abstract: Co-clustering based on generalized conceptual relationships can automatically detect story forms incorporating archetypes/targets and actions. Co-clustering can help in identifying similarities that exist in low-dimensional sub-spaces of sparse data such as textual paragraphs. Through co-clustering, the clusters themselves and their characteristic features are identifiable which can be useful in describing and summarizing their contents. The residual error of factorization with concept-based features is significantly lower than the error with prior keyword-based features. Qualitative evaluations also suggest that concept-based features yield more coherent, distinctive and interesting story forms compared to those produced by using prior keyword-based features.

Abstract: Computerized contextual analysis systems and methods suitable for monitoring situations, regions, and groups characterized by volatility and uncertainty are provided. Via use of exemplary systems and methods, decision makers, for example politicians, warfighters, and analysts can gain insight into the cultures, attitudes, events, and relationships that may impact their missions.

Abstract: Computerized contextual analysis systems and methods suitable for monitoring situations, regions, and groups characterized by volatility and uncertainty are provided. Via use of exemplary systems and methods, decision makers, for example politicians, warfighters, and analysts can gain insight into the cultures, attitudes, events, and relationships that may impact their missions.