RED ALERT – Real Time Early Detection And Alert System for Online Terrorist Content based on Natural Language Processing, Social Network Analysis, Artificial Intelligence and Complex Event Processing
To fight the war against terror, Law Enforcement Agencies (LEAs) are increasingly relying on social media intelligence (SOCMINT), a new field of intelligence covering a wide range of applications, techniques and capabilities analysing social media data, such as Natural Language Processing (NLP), Social Network Analysis (SNA), Artificial Intelligence (AI) and Complex Event Processing (CEP).
Commercial tools used by LEAs focus primarily on data mining and predictive analytics i.e. visualizing and analysing data on maps through time-sequence playback, centralizing multiple data stores in one system, discovering hidden value in existing information stores, sharing data with other law enforcement organizations.
The RED-Alert solution will cover a wide range of social media channels, in particular new channels such as Telegram and Periscope, which are increasingly used by terrorist groups to disseminate their content. The RED-Alert solution will allow LEAs to take coordinated action in real-time while preserving the privacy of citizens.
Project Website: www.redalertproject.eu/