NLP in the Real World: Chatbots, Sentiment, and Analysis NLP is moving from research into daily tools people use at work and at home. In business, chatbots handle common questions, guide shoppers, and route requests to the right team. Sentiment analysis helps brands listen to customers as they speak, post, or review, so teams can react quickly. The real value comes when teams combine good data, solid models, and clear goals. ...
NLP in Action: Chatbots, Assistants, and Beyond Natural language processing helps machines understand and respond to people. Today chatbots and smart assistants use NLP to carry on real conversations, answer questions, and help with tasks. They appear in customer service portals, messaging apps, and workplace tools. At its core, NLP looks at what a user means (intent), what parts of the sentence matter (entities), and what came before in the conversation (context). Modern systems combine machine learning with simple rules to generate responses. They may ask clarifying questions, pull data from a knowledge base, or guide a user step by step. ...