What is intent recognition in conversational AI?

Understanding intent is the heart of natural dialogue.
Dan Jurafsky

How It Works:

Models classify user utterances into predefined intent categories by extracting features from text and matching against training examples.

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Key Benefits:

  • Precise routing: Sends queries to the right handlers.
  • User satisfaction: Fewer misunderstandings.
  • Analytics: Tracks popular intents for insights.

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Real-World Use Cases:

  • Chatbots: Distinguish "order status" vs. "refund" requests.
  • Voice assistants: Detect "play music" vs. "set alarm."

FAQs

How many intents can we support?
How train new intents?