MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043219 A) filed by Sr University, Warangal, Telangana, on April 4, for 'a computational method for automated detection of trauma, emotion, and narrative patterns in textual and oral data.'
Inventor(s) include Shruti Nair; and Dr. Vahini Billu.
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: "A Computational Method for Automated Detection of Trauma, Emotion, and Narrative Patterns in Textual and Oral Data 2. Abstract The current invention reveals a computerized approach to the automatic identification and analysis of trauma, emotion and storytelling in written and oral information. It is a method based on highly sophisticated natural language processing (NLP), machine learning, and speech processing to process heterogeneous data sources, such as written documents, transcribed speech, and audio recordings. The suggested approach determines language and semantic signs of psychological trauma, such as reflection of distress, disrupted memory, silence, and intensity of the feelings. It also has a sentiment analysis, contextual modelling and discourse level pattern recognition in detecting recurrent narrative patterns in themes like displacement, violence, identity and loss. In the oral data, the approach brings together acoustic feature evaluation, such as pitch, tone, pauses, and speech rhythm, to improve the identification of the emotional condition and the symptoms of trauma. The approach incorporates adaptive learning processes that allow interpreting expressions related to trauma contextually and culturally in various data sets. The output is provided in the form of annotated corpora, pattern visualizations, and analytical insights and this paves the way in the applications in digital humanities, trauma studies, mental health research, archival reconstruction, and conflict analysis. The invention is able to enhance the ability to process large datasets in a scalable, efficient, and real-time manner greatly improving on traditional qualitative methods by providing a powerful computing method to reveal latent emotional and narrative layers in textual and oral narratives. Keywords Trauma Detection, Emotion Analysis, Narrative Pattern Recognition, Natural Language Processing, Speech Processing, Machine Learning."
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