MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621071411 A) filed by Maulik Narendrakumar Pandya; Animesh Kumar Agrawal; and Jiya Pandya on June 09, 2026, for Event-Gated Causal Temporal Sentiment Forecasting System For Predictive Digital Opinion Dynamics.
Inventors include Maulik Narendrakumar Pandya; Animesh Kumar Agrawal; and Jiya Pandya.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT: Event-Gated Causal Temporal Sentiment Forecasting System for Predictive Digital Opinion Dynamics This invention describes an event-gated, edge- deployable causal temporal sentiment forecasting system for predictive analysis of sentiment trajectory transitions in digital communication environments. The system selectively activates based on multi-factor instability detection, including engagement acceleration, external trigger probability, and narrative fragility. Upon activation, a temporal causal simulation framework generates multiple probabilistic sentiment evolution pathways using diffusion-based modeling and structured causal graphs representing influence propagation. An external trigger injection mechanism enables simulation of anticipated events such as influencer amplification and media dissemination for counterfactual analysis. A sentiment phase transition classification process identifies discrete states including stability, polarization, escalation, saturation, and decay. The system employs compressed artificial intelligence models optimized for edge deployment, enabling offline functionality, reduced latency, and enhanced data privacy. The invention facilitates anticipatory detection of sentiment shifts, overcoming limitations of reactive sentiment analysis systems.
Disclaimer: Curated by HT Syndication.
