MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611053733 A) filed by Deepti Aggarwal; Tushar Tomar; Sugandha Mall; and Shashank Chaudhary, Ghaziabad, Uttar Pradesh, on April 28, for 'whatsapp chat analyzer (postpulse): intelligent sentiment analysis and behavioral pattern recognition system.'
Inventor(s) include Deepti Aggarwal; Tushar Tomar; Sugandha Mall; and Shashank Chaudhary.
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: "This patent introduces PostPulse, an innovative WhatsApp Chat Analyzer system that employs advanced Natural Language Processing (NLP) techniques and machine learning algorithms to extract meaningful insights from unstructured chat data. The system performs multi-dimensional analysis including sentiment classification, behavioral pattern recognition, emoji-emotion mapping, and temporal activity analysis. The core technology stack includes Python-based NLP modules (NLTK, TextBlob), machine learning classifiers (Naive Bayes, Logistic Regression), and VADER sentiment analysis model. The system further integrates advanced transformer-based models (BERT, RoBERTa) for enhanced contextual understanding. A Flutter-based user interface provides real-time visualization of insights, activity metrics, and emotional trends. The analyzer maintains strict data privacy by processing all information locally on user devices without involving third-party servers, ensuring compliance with data protection regulations like GDPR and Indian DPDPA2023. Experimental validation on 10,000+ message datasets demonstrates 89%sentiment classification accuracy with processing latency below 300ms, positioning this solution as a powerful tool for social computing research, digital communication analysis, andbehavioral intelligence. Keywords: WhatsApp Chat Analysis, Natural Language Processing, Sentiment Analysis, Machine Learning, Data Visualization, Behavioral Pattern Recognition, Privacy-PreservingAnalytics, Emoji Emotion Mapping, VADER Sentiment Model, Flutter Application."
Disclaimer: Curated by HT Syndication.
