Example Concept: Chatbots use NLP to process user input by first tokenizing the text into words or phrases. They then apply techniques like part-of-speech tagging and named entity recognition to understand the structure and meaning. Machine learning models, often trained on large datasets, predict the user's intent and generate appropriate responses based on predefined rules or learned patterns.