Using Sequence Package Analysis to Detect Terrorism and Sedition

Sequence Package Analysis (SPA), a new natural language method that utilizes a corpus of annotated training data comprised of a unique set of feature extractions, may detect early signs of terrorism and sedition. Using an SPA-designed BNF table consisting of sequentially-implicative (as opposed to syntactic) parsing structures, this natural language tool searches social media content and recordings of conversations of suspected terrorists to identify (and measure) collusion, collaboration, affinity with other terror or sedition suspects.