Archana Chindhu Bhaware
Computer Science
September 2024
Recent developments in Natural Language Processing (NLP) have improved human-machine interactions and drastically changed a number of industrial areas. Forecasts suggest that by 2025, cognitive systems will handle a whopping 1.4 zettabyte of data, underscoring the broad significance of natural language processing. This technology has had a big impact on industries including healthcare, where virtual assistants make patient management easier, and automotive, where natural language processing (NLP) makes it possible to create sophisticated in-car aides. Natural language processing (NLP) enhances robotics and process automation in manufacturing, and it supports real-time sentiment analysis and credit scoring in finance
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