MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202621108093 A) filed by Ms. Amee Teraiya; Dr. Anjana Prajapati; Dr. Aruna Priya Kanukuntla; Ms. Annette Treesa Benny; Dr. Neeraj Arora; Dr. Santosh Kumar Nayak; Mrs. P. Esther Ramola; Jobin Jose; Ansuman Mahanty; Ms. Mahabooba M; and Prof. Dr. Harikumar Pallathadka on September 08, 2026, for Ai-Based Natural Language Processing System For Automated Literary Content Analysis And Classification.
Inventors include Ms. Amee Teraiya; Dr. Anjana Prajapati; Dr. Aruna Priya Kanukuntla; Ms. Annette Treesa Benny; Dr. Neeraj Arora; Dr. Santosh Kumar Nayak; Mrs. P. Esther Ramola; Jobin Jose; Ansuman Mahanty; Ms. Mahabooba M; and Prof. Dr. Harikumar Pallathadka.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention provides an AI-based natural language processing system for automated analysis and classification of literary content. The system receives literary content and preprocesses the content into structured textual segments while preserving hierarchical relationships. A contextual representation module generates AI-based representations of the textual segments, and a literary feature extraction module determines semantic, thematic, linguistic, stylistic, narrative, emotional, and structural characteristics. A contextual relationship analysis module identifies relationships among textual segments and extracted characteristics. An AI-based classification module combines the extracted characteristics and contextual relationships to determine one or more literary classification categories and corresponding confidence values. An analytical output module generates structured results associating the classifications with contributing literary characteristics. A feedback mechanism may further adapt selected classification parameters based on user validation or correction.
Disclaimer: Curated by HT Syndication.