MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611075399 A) filed by Ravindra Singh Ranawat; Dr. Anjali Ramaria; Ms. Srishti Srivastava; Dr. Shalinee Pareek; Dr. Manju Sharma; Dr. Mukti Parashar; Dr. Suman Bharti Meena; Dr. Vijay Kumar; and Mr. Bachcha Lal Pal on June 18, 2026, for An Intelligent System And Method For Automated Contextual Classification And Incremental Learning Of Domain-Specific Textual Data.
Inventors include Ravindra Singh Ranawat; Dr. Anjali Ramaria; Ms. Srishti Srivastava; Dr. Shalinee Pareek; Dr. Manju Sharma; Dr. Mukti Parashar; Dr. Suman Bharti Meena; Dr. Vijay Kumar; and Mr. Bachcha Lal Pal.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses a system and method for intelligent classification of domain-specific textual data using natural language processing and deep learning techniques. The system preprocesses textual inputs through tokenization, stemming, vectorization, and stop-word removal before applying a bidirectional long short- term memory model to perform contextual classification. An active learning mechanism identifies uncertain predictions and routes them to a human expert for validation. Validated outputs are incorporated into an incremental learning framework, enabling continuous improvement of classification accuracy without full model retraining. The invention provides a scalable, adaptive, and high-precision solution suitable for healthcare, scientific, and enterprise text analytics applications.
Disclaimer: Curated by HT Syndication.
