Leadership Agent for Multi-source Information Fusion in Counter-Terrorism

We have a proprietary algorithm for Latent Semantic Analysis (LSA) called Latent Semantic Regression (LSR). We will demonstrate our unique ability to establish semantic networks that follow latent links across large collections of documents. We will extend applications of LSR to more complex indices than the classical term-document matrix. In particular, we will demonstrate our ability to perform latent semantic retrieval not only on indices that measure keyword frequencies, but on more complex linguistic attributes or structures. These experiments will include demonstrations of latent semantic retrieval on entity-entity matrices, and action-entity or "event" matrices produced by our proprietary technology for deep parsing and information extraction.