AI Chatbot Glossary
What Is Sentiment Analysis?
Sentiment analysis is the AI capability of detecting emotion in user messages - happiness, frustration, confusion - and triggering handoff or prioritization based on it.
Definition
The AI capability of detecting the emotional tone behind a user's message, such as whether they are happy, frustrated, confused, or angry. Chatbots use sentiment analysis to adjust their responses, escalate to human agents when frustration is detected, or prioritize urgent issues.
Why Sentiment Analysis Matters for AI Chatbots
Sentiment analysis matters most for support bots. When a customer is clearly frustrated, the bot should not keep trying to resolve - it should hand off to a human with context. Detecting frustration early prevents the "I just want to talk to a human" loop.
Related Terms
Human Handoff
Human handoff is the process of transferring a chatbot conversation to a live agent when the bot cannot resolve an issue or the user requests human help - preserving conversation context.
Customer Support Automation
Customer support automation uses technology - including AI chatbots - to handle customer service inquiries without human intervention.
Intent Recognition
Intent recognition is the AI capability of identifying what a user wants to accomplish from their message - critical for routing conversations correctly.