Violence Identification in Social Media

A knowledge-based methodology is proposed for the identification of type and level of violence presented implicitly in shared comments on social media. The work was focused on the semantic processing taking into account the content and handling comments as excerpts of knowledge. Our approach implements similarity measures, conceptual distances, graph theory algorithms, knowledge graphs and disambiguation processes.