We propose a novel approach of deriving word prior knowledge using the measurement of relative entropy of words (RWE).
the task of classifying tweets as violence-related poses different challenges including: high topical diversity; irregular and ill-formed words; event-dependent vocabulary characterising violence-related content; and an evolving jargon emerging from violent events.