MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202621098527 A) filed by Prakhar Gautam; and Gyan Ganga Institute Of Technology And Sciences on August 14, 2026, for A System And Method For Mining Content Management System Data To Classify And Resolve Students' Learning Issues.
Inventors include Prakhar Gautam; Santosh Vishwakarma; Kailash Kumar Armo; and Sachin Kumar Bokde.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention discloses a system and method for an automated educational data mining and predictive analytics framework tailored for classifying institutional learning issues. The framework resolves operational bottlenecks in educational administration by providing a highly accurate, autonomous classification system capable of processing authentic, non-anonymous textual complaint data retrieved from an institutional Content Management System (CMS). Unlike traditional manual survey methods or unreliable social media data mining, the system employs a predictive computational module utilizing a Naive Bayes probabilistic classification paradigm. Upon receiving unstructured textual grievances, a natural language pre-processing engine autonomously triggers dynamic data normalization tasks, executing sequential tokenization, case transformation, linguistic stopword filtration, and algorithmic stemming. The normalized textual data is subsequently processed by the classification module, which calculates posterior probabilities to automatically categorize the dataset into predefined, actionable institutional domains (e.g., BUS, LIBRARY, WASHROOM), offering highly contextual institutional intelligence for immediate administrative resolution without requiring arbitrary manual evaluation.
Disclaimer: Curated by HT Syndication.
