MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641081131 A) filed by Ramachandra College Of Engineering on July 01, 2026, for Intelligent Document Classification Using Nlp.
Inventors include Dr J Ranga; K Rajendra; Ch Venkatesh; and Dr P Sudhakar.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: An intelligent document classification system uses natural language processing (NLP) to organize and categorize textual content automatically. Documents from emails, reports, articles, and databases are collected for analysis. NLP algorithms extract semantic, syntactic, and contextual features to understand content meaning. Machine learning models classify documents into predefined categories with high accuracy. The system supports multi-language and multiformat document processing. Integration with enterprise content management systems enables seamless workflow automation. Real-time classification reduces manual effort, improves efficiency, and ensures consistency. Alerts or flags can be generated for misclassified or critical documents. Historical data enhances model accuracy and adapts to evolving document patterns. Visualization dashboards provide insights into document distribution and trends. Automated tagging and indexing facilitate fast search and retrieval. Security and privacy measures protect sensitive information. The system supports scalability for large volumes of organizational documents. Predictive analytics can recommend category updates or reorganization.forma
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