Pawar, RohitAgrawal, YashJoshi, AkshayGorrepati, RanadheerRaje, Rajeev R.2019-08-302019-08-302018-05Pawar, R., Agrawal, Y., Joshi, A., Gorrepati, R., & Raje, R. R. (2018). Cyberbullying Detection System with Multiple Server Configurations. 2018 IEEE International Conference on Electro/Information Technology (EIT), 0090–0095. https://doi.org/10.1109/EIT.2018.8500110https://hdl.handle.net/1805/20720Due to the proliferation of online networking, friendships and relationships - social communications have reached a whole new level. As a result of this scenario, there is an increasing evidence that social applications are frequently used for bullying. State-of-the-art studies in cyberbullying detection have mainly focused on the content of the conversations while largely ignoring the users involved in cyberbullying. To encounter this problem, we have designed a distributed cyberbullying detection system that will detect bullying messages and drop them before they are sent to the intended receiver. A prototype has been created using the principles of NLP, Machine Learning and Distributed Systems. Preliminary studies conducted with it, indicate a strong promise of our approach.enPublisher Policycyberbullyingmultiple server configurationssocial network servicesArticle