MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511114222 A) filed by Aniket Kumar; Abhinav Kumar Mishra; Aniket Kumar; and Aditya Dayal Tyagi, Greater Noida, Uttar Pradesh, on Nov. 20, 2025, for 'decoding emotions in text: advantage in automated emotion detection.'
Inventor(s) include Aniket Kumar; Abhinav Kumar Mishra; Aniket Kumar; and Aditya Dayal Tyagi.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an automated system and method for detecting and classifying human emotions from textual data using advanced natural language processing techniques and machine learning algorithms. The system employs a hybrid deep learning architecture combining convolutional neural networks and long short-term memory networks to analyze linguistic features, contextual patterns, and semantic relationships within text. The invention processes input text through multiple analytical layers including lexical analysis, syntactic parsing, semantic interpretation, and contextual evaluation to identify emotional states with high accuracy. The system generates emotion classification outputs across multiple categories including happiness, sadness, anger, fear, surprise, and disgust, along with confidence scores and intensity measurements. The invention finds applications in customer service automation, mental health monitoring, social media analytics, human-computer interaction, and marketing research. The system operates in real-time with minimal computational overhead and can be deployed across various platforms including mobile devices, web applications, and cloud-based services."
Disclaimer: Curated by HT Syndication.
