How does intent classification work? — Complete Guide
Intent classification works by analyzing a user's message to categorize it into a predefined intent (like 'book appointment', 'ask question', or 'file complaint'). Modern systems use transformer-based models that encode the message into a vector representation and classify it against known intent categories, achieving 95%+ accuracy on in-domain queries.
Answer
Intent classification works by analyzing a user's message to categorize it into a predefined intent (like 'book appointment', 'ask question', or 'file complaint'). Modern systems use transformer-based models that encode the message into a vector representation and classify it against known intent categories, achieving 95%+ accuracy on in-domain queries.
Frequently Asked Questions
How many intents does a typical chatbot have?
Simple chatbots may have 10-20 intents. Enterprise systems often define 50-200+ intents. LLM-based systems can handle open-ended queries without strict intent limits.
What happens when intent classification is wrong?
Misclassified intents lead to irrelevant responses. Good systems use confidence scores to detect uncertainty and ask clarifying questions rather than acting on low-confidence classifications.
Can intent classification handle multiple intents?
Yes. Multi-intent classification can detect multiple intents in a single message, like 'Check my order status and update my address.' This requires models trained to output multiple labels.
How much training data is needed for intent classification?
Traditional classifiers need 50-200+ examples per intent. LLM-based systems can work with zero examples through prompt engineering, though providing a few examples improves accuracy.
Is intent classification still needed with LLMs?
LLMs can handle many tasks without explicit intent classification. However, structured intent detection is still valuable for routing to specific workflows, triggering integrations, and maintaining predictable behavior in production systems.
Related Pages
Add Voice AI to Your Website — Free
Setup takes 2 minutes. No coding required. No credit card.
Free plan: 60 conversations/month • 50+ languages • DOM actions • Full analytics
Start Free →