◆Sentiment Analysis

Overview

Sentiment Analysis processes text at any scale — from a single tweet to thousands of support tickets — and returns a structured breakdown of sentiment polarity, intensity, and tone. Named entities are tagged with their own sentiment scores so you can distinguish how customers feel about pricing versus support versus a specific feature. Confidence intervals are included so agents can escalate uncertain cases to human review.

Example Use Cases