MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641061234 A) filed by Salem College Of Engineering And Technology on May 14, 2026, for Cyberbullying Detection System Using Machine Learning Techniques.
Inventors include Dinesh Kumar C; Varshini Kavi E; Vasanthan P; Vijaya S; Vinitha R; Vishalini M; Vishwa V; and Vismaya V.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: A cyberbullying detection system using machine learning techniques enhances online safety by identifying harmful behavior on digital platforms. The system collects user-generated content such as messages, posts, and comments. Natural language processing algorithms analyze textual data for abusive, offensive, or threatening language. Machine learning models classify content as cyberbullying or safe based on learned patterns. Real-time alerts notify administrators or moderators of detected incidents. The system supports multi-platform monitoring for social media, messaging apps, and forums. Continuous learning improves detection accuracy over time. Data logging enables analysis of bullying trends and user behavior. Automated reporting assists in timely intervention and preventive action. Secure data handling ensures user privacy and compliance with regulations. The solution reduces manual monitoring efforts and enhances platform safety. It can also provide feedback and awareness notifications to users. Scalable architecture allows deployment across large digital communities. Low latency ensures prompt detection and response. This intelligent system provides an effective and reliable approach for mitigating cyberbullying online.
Disclaimer: Curated by HT Syndication.
