Natural Language Understanding for Chatbots Natural language understanding (NLU) is the core of a good chatbot. It interprets what a user wants and turns that into actions the bot can take. A clear NLU layer makes conversations feel natural and reduces the time a user spends typing. Designers rely on NLU to identify goals, extract details, and decide what to say next. Reliable NLU works across accents, slang, and small typos. ...
Natural Language Understanding in Chatbots Natural Language Understanding (NLU) is the part of a chatbot that makes sense of what a user says. It turns words into a plan the bot can act on. Good NLU handles variation in language, tone, and mistakes, so conversations feel natural rather than robotic. What NLU Does NLU splits input into two main pieces: intent and entities. The intent answers “what does the user want?” while entities extract concrete details like dates, places, or quantities. Together they guide the next step in the dialogue. ...
NLP Applications in Customer Support NLP helps support teams understand and respond to customers faster. It turns messages into clear actions, reduces repetitive work, and keeps the human touch where it matters. This article shares practical uses and tips to begin. Practical uses Chatbots and virtual assistants handle common questions 24/7, freeing agents for more complex tasks. Intent recognition groups requests by topic and urgency, guiding routing to the right agent or self-service path. Sentiment analysis flags frustrated or urgent customers early, enabling timely follow-up. Knowledge base automation matches questions to relevant articles and suggests ready replies. Multilingual support enables conversations in multiple languages, with downstream translation for agents if needed. Agent assist and automation ...