MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202621062204 A) filed by Mrs. Supriya Sameer Nalawade; Dr. Rama Vaibhav Kaulgud; and Dr. Shamala Rajaram Mahadik on May 15, 2026, for A Hybrid Deep Learning And Machine Learning Model For Real-Time Text Classification And Sentiment Analysis In Large-Scale Data Systems..

Inventors include Mrs. Supriya Sameer Nalawade; Dr. Rama Vaibhav Kaulgud; and Dr. Shamala Rajaram Mahadik.

The application for the patent was published on July 10, 2026, under issue no. 28/2026.

Abstract: ABSTRACT OF THE INVENTION: The invention presents a Hybrid Deep Learning and Machine Learning Model designed for efficient, real-time text classification and sentiment analysis in large-scale data environments. By combining the speed of traditional ML algorithms (such as XGBoost with classical features) for initial triage with the semantic depth of transformer and recurrent neural architectures (BERT variants, CNN-LSTM with attention), the system achieves high accuracy and low latency. Data flows through a distributed ingestion pipeline, undergoes preprocessing, and is routed intelligently: straightforward cases are resolved quickly by ML, while nuanced or ambiguous texts proceed to resource-intensive DL modules. Predictions are fused in an ensemble layer, supporting multi-label classification, aspect-based sentiment, and continuous model adaptation via incremental learning. This approach addresses key challenges in big data analytics, including scalability, handling of noisy real-world text, and real-time requirements for applications like social monitoring and customer analytics. The system demonstrates superior performance metrics compared to standalone models, with built-in explainability features. It is deployable in cloud and edge computing setups, offering practical utility across industries. Novel elements include the intelligent routing mechanism, adaptive thresholding, and optimized hybridization strategy, providing a balanced, efficient solution for modern text intelligence needs.

Disclaimer: Curated by HT Syndication.