MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000837 A) filed by Mangalmay Institute Of Management & Technology, Greater Noida, Uttar Pradesh, on Jan. 5, for 'a system and method for sentiment analysis of social media posts to detect fake or misleading content using machine learning techniques.'
Inventor(s) include Jyoti Solanki; Kritika Srivastava; Ashish Kumar; and Vini Gupta.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a system and method for detecting fake or misleading social media posts using sentiment analysis combined with machine learning techniques. The system collects posts and associated metadata from multiple social media platforms, preprocesses the textual content to remove irrelevant information, and extracts features including sentiment polarity, subjectivity, emotional intensity, and semantic embeddings. The extracted features are analyzed by a machine learning classifier trained to distinguish between authentic and fake content, with an adaptive learning mechanism that continuously improves accuracy over time. The results are displayed on a visualization dashboard providing real-time monitoring, statistical summaries, and alerts for potentially fake posts. The system is privacy-preserving, anonymizing sensitive user data while maintaining compliance with data protection regulations, and is scalable for deployment across diverse platforms, offering an intelligent and automated solution for mitigating misinformation and enhancing information integrity online."
Disclaimer: Curated by HT Syndication.
