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Natural language processing (NLP), which makes automated systems and customers interact more naturally and human-like, is a crucial component of chatbot-based customer service. Thanks to this technology, chatbots can now hear and comprehend speech or words quite similar to how humans do, providing efficient and customized customer support. NLPenabled chatbots can do tasks including answering questions, troubleshooting, and enhancing customer happiness. Aspects of natural language processing that are essential include sentiment analysis, entity extraction, and intent detection. NLP-driven chatbots have several disadvantages, such as unclear language, the need for huge datasets to create effective models, and more, despite their efficiency and scalability. To improve chatbot effectiveness, NLP systems require continuous advancements and significant training data.