Applications of Natural Language Processing in Chatbot

Abstract

NLP has revolutionized chatbots into essential instruments for both enterprises and people. NLP improves the chatbot's capacity to emulate human-like interactions by utilizing techniques such as intent identification, sentiment analysis, and contextual comprehension. Natural Language Processing (NLP) has transformed chatbot interactions by allowing them to efficiently process, comprehend, and produce human language. This study examines many uses of natural language processing in chatbots, encompassing customer service and healthcare. It analyzes the technological progress in NLP that has improved chatbot capabilities and user experience. The study additionally delineates prevalent problems and constraints linked to NLP methodologies in chatbot systems. The study's findings underscore the enhancements in efficiency, cost-effectiveness, and customer pleasure attributable to NLP-powered chatbots. The study finishes with thoughts into future trends and prospective breakthroughs in NLP technology for conversational AI.