MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075098 A) filed by K. S. R. M College Of Engineering on June 17, 2026, for Development Of An Intelligent Nlp-Based System For Detecting Depression, Anxiety, And Stress From Social Media.
Inventors include Potta Tulasi; Memon Mohammed Tayyib; Perla Balavenkatagari Sravani; Kalingiri Bhargava Siddartha; and Mr. B. Mahesh Reddy.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: ABSTRACT [0018] The present invention proposes an intelligent social media-based mental health monitoring system that effectively detects signs of depression, anxiety, and stress from user-generated text content using advanced natural language processing and machine learning techniques. This system/method is designed to address the limitations of traditional manual assessment methods and basic sentiment analysis tools, which fail to capture nuanced emotional states in large volumes of unstructured social media data. By integrating sophisticated text preprocessing, semantic feature extraction, and ensemble classification models, the invention enables early identification of mental distress patterns, supporting timely awareness and intervention in online communities while maintaining user privacy and scalability.
Disclaimer: Curated by HT Syndication.
