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@article{174909,
        author = {Srirajanithya.T and Megala .T},
        title = {Real Time Cyberbullying Detection and Blocking System Using NLP},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2333-2337},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174909},
        abstract = {Cyberbullying is a growing concern on online platforms, demanding immediate intervention. This paper proposes a real-time cyberbullying detection and blocking system powered by Natural Language Processing (NLP).It minimizes harm to potential victims by proactively blocking offending content in real-time upon detection. By stopping the propagation of hostile messages, this quick action promotes a safer online environment. The goal of our research is to make the internet a safer and more enjoyable place for everyone.},
        keywords = {Natural Language Processing, Real-Time Detection, Cyberbullying, Decentralized, Blockchain, Distributed System, Ethereum, AI-driven Systems},
        month = {April},
        }