Sentiment analysis helps AI understand the emotional tone behind text — whether it is positive, negative, neutral, or more nuanced signals like frustration, urgency, or satisfaction.
In customer support, it is used to flag escalating conversations, prioritize high-frustration contacts, and measure satisfaction signals at scale. A support system that automatically elevates tickets where sentiment analysis detects strong negative emotion is routing human attention to the cases that need it most — without requiring a human to read and assess every incoming message.
