Glossary
What is intent detection?
Definition
Intent detection is the process of identifying what a user is trying to accomplish from what they say or type. It maps a natural-language message to a predefined goal, such as booking an appointment or asking about pricing. Intent detection lets automated systems choose the right action or response.
01How intent detection works
The system takes a caller's utterance and classifies it into one of several known intents, often using machine learning models trained on labeled examples. Features can include the words used, their order, and surrounding context from the conversation. Some systems also return a confidence score, allowing the assistant to ask a clarifying question when uncertain.
02Intent detection on phone calls
In a voice receptionist, intent detection decides whether a caller wants to schedule, cancel, get directions, reach a person, or something else. Accurate detection routes the conversation down the correct path and reduces frustrating dead ends. Because phone speech is casual and varied, systems are trained on many phrasings of the same request.
03Intents versus entities
Intent detection answers what the caller wants, while entity extraction pulls out the specific details needed to fulfill it. For example, in 'book a cleaning for next Tuesday,' the intent is scheduling and the entities are the service type and date. The two work together to turn a spoken request into a structured action.
Frequently asked questions
How is intent different from a keyword search?
Keyword matching looks for exact words, while intent detection interprets meaning, so it can recognize the same goal expressed in many different ways.
What happens if the intent is unclear?
Well-designed systems use confidence scores to detect ambiguity and ask a follow-up question or offer options rather than guessing wrong.
See also
Related terms
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