A speaker’s language is the window to his intent. Diverging attitudes toward the use of violence by groups or individuals who otherwise share the same ideological goals are reflected in the language communication strategies that these groups/individuals adopt in advocating the pursuit of their cause. The identification of language use factors that are highly correlated with a speaker’s attitude to violence enables the development of computational models of violent intent. These models can help recognize violent intent in written or spoken language and forecast the likely occurrence of violent events and help to identify changing communication outreach characteristics across radical groups. The goal of this talk is to review recent approaches to modeling violent intent based on content analysis and demonstrate how the ensuing models can be used to assess and forecast ebbs and flows of sociopolitical contention in the public dialogue.