MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123298 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 7, 2025, for 'disaster management system using sentiment analysis and predictive modeling.'
Inventor(s) include Dr. Vijayasherly V; Kaushika V M; Jeba Pearllin A; and Sudarsanaa C R.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a computer-implemented method for disaster management that collects social media data from social media platforms and historical environmental data from environmental databases, processes the social media data using a Long Short-Term Memory (LSTM) network to perform sentiment analysis and classify sentiment categories from disaster-related social media posts, processes the historical environmental data using a Random Forest algorithm to predict disaster occurrences based on historical patterns and environmental indicators, and generates automated alerts based on results from the sentiment analysis and the disaster prediction. The system includes a data collection module, a sentiment analysis module comprising the LSTM network (Phase 3), a disaster prediction module comprising the Random Forest algorithm (Phase 3), and an alert generation module (Phase 4) that operates through a Flask web application backend to provide real-time disaster intelligence and coordinated emergency response capabilities."
Disclaimer: Curated by HT Syndication.
