Chatbots employ natural language processing (NLP) to understand and respond to user queries in a conversational manner. By analyzing human language, chatbots can interpret the intent behind messages and generate appropriate responses. This process involves techniques such as tokenization, where text is broken down into manageable pieces, and sentiment analysis to gauge user emotions. Using machine learning, chatbots continuously improve their responses by learning from interactions, making them increasingly efficient at providing support and engaging users.