Memon, Nasrullah4; Karampelas, Panagiotis3; Qureshi, Pir Abdul Rasool4; Wiil, Uffe Kock4
1 The Maersk Mc-Kinney Moller Institute, Faculty of Engineering, SDU2 Faculty of Engineering, SDU3 Hellenic American University4 The Maersk Mc-Kinney Moller Institute, Faculty of Engineering, SDU
The paper proposes a novel system that can be used to detect social polarization and estimate the chances of violent radicalization associated with it. The paper indicates the required processes for such a system and analyzes how existing technologies can be integrated into the proposed system to fulfill the objectives. We propose a scalable design making provisions for potential extensions in future state of art technologies.
2011 Third International Conference on Machine Learning and Computing, Singapore, 2011