MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202631017943 A) filed by Guru Nanak Institute Of Technology, Kolkata, West Bengal, on Feb. 18, for 'a web-implemented system and method for interpretable sentiment analysis of social media and mental health data using automated correlation and visualization.'
Inventor(s) include Dr. Mahamuda Sultana; Dr. Ananjan Maiti; Amit Kumar Bhore; Md Asad Anwer; Aliya Khatoon; and Ritika Srivastava.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The current invention proposes a web-based system and methodology for interpretable sentiment analysis of social media and mental health data, utilizing automated correlation calculations and visualization changes. The system will automate the processing and artificial intelligence analytics of the responses generated by users to social science/psychological surveys, specifically examining the correlation between social media usage behaviors and their corresponding mental health sentiment scores. The invention uses data preprocessing, sentiment scores, correlation matrix building, and graphs (heatmaps and box plots) to provide useful insights on a real-time basis. The invention also makes it possible to simplify the nuances of the relationships between social media engagement and psychological well-being, enabling average users (such as clinicians, educators, and policy-makers, etc.) to comprehend those complexities. The web interface enables users to post raw survey data, initiate analysis, and view both tabular and graphical results, thereby democratizing access to advanced analytics that were only available to data scientists. This invention meets the demands of transparency, interpretability, and automation of the assessment of digital facets of mental health."
Disclaimer: Curated by HT Syndication.
