MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000748 A) filed by Ct University, Ludhiana, Punjab, on Jan. 5, for 'artificial intelligence-based system for semantic and emotional analysis of song lyrics for mood classification.'
Inventor(s) include Dr Arvind Kumar; Dr. Ankita Gupta; and Mr. Davinder Singh.
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 is a system and technique for semantic and emotional analysis of music lyrics to categorize mood and contextual meaning that is based on artificial intelligence. In order to analyze lyrical content beyond surface-level sentiment, the system uses sophisticated natural language processing, semantic embeddings, affective computing, and cultural context modeling. The invention maps songs into complex mood categories as cheerful, melancholy, romantic, devout, rebellious, melancholic, energetic, and serene by recognizing metaphors, idiomatic expressions, narrative elements, and emotional progression. To improve emotional accuracy, a lyric-music fusion method optionally links semantic outputs with musical characteristics. Personalized music suggestions, music therapy support, mental health analysis, and intelligent playlist creation in multilingual and cross-cultural contexts are all made possible by the system's standardized outputs, which include a Mood Index and a Lyric Mood Map."
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