MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611113823 A) filed by Ajay Kumar Garg Engineering College on September 23, 2026, for Ai-Based Multilingual Multimodal System And Method For Sentiment, Emotion And Aspect-Level Analysis Of Text And Speech.
Inventors include Govind Kumar; Devang Singh; Abhishek Yadav; Abhinav Yadav; Sonam Gupta; and Pradeep Gupta.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The invention discloses an AI-based multilingual multimodal system (100) and method for sentiment, emotion and aspect-level analysis of text and speech. A multimodal input module (102) receives text, live voice and recorded audio in multiple languages. A speech-to-text module (110/112) converts voice into text for a multilingual sentiment classification module (114), while a voice emotion recognition module (116) independently derives emotion from raw audio. An aspect-based sentiment analysis module (118) determines aspect-wise sentiment. A multimodal result integration module (120) fuses these outputs, which an explainable AI module (122) interprets using feature-attribution techniques. Keyword, confidence and summary modules (124, 126, 128) further enrich the output, rendered via a user interface module (130). The synergistic interconnection of these modules yields a unified, interpretable, multilingual and multimodal opinion-analysis capability unattainable through any single prior-art component operating independently.
Disclaimer: Curated by HT Syndication.
