MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611053360 A) filed by Ms. Shivani Garg; Mr. Ashutosh Patel; and Mr. Divyam Kumar, Ghaziabad, Uttar Pradesh, on April 27, for 'an intelligent machine learning-based system for sentiment-aware analysis and structured insight extraction from whatsapp conversations.'
Inventor(s) include Ms. Shivani Garg; Mr. Ashutosh Patel; and Mr. Divyam Kumar.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The invention presents a full-stack intelligent system designed to extract structured insights from unstructured conversational data using advanced Machine Learning (ML) and Natural Language Processing (NLP) techniques. The system processes exported chat files and applies adaptive parsing, sentiment classification, behavioral profiling, and AI-powered summarization. A key innovation is the integration of a confidence-threshold-based neutral sentiment classification, enabling more realistic interpretation of conversational tone. The system supports both extractive and transformer-based abstractive summarization and provides analytics such as activity heatmaps, sentiment trends, and user behavior rankings. The solution is scalable, automated, and user-friendly, requiring no technical expertise. Keywords: Conversational Analysis, Sentiment Analysis, NLP, Machine Learning, Text Mining, TF-IDF, SVM, Behavioral Analytics, Text Summarization, Data Visualization."
Disclaimer: Curated by HT Syndication.
