Sentiment Analysis 101: Beyond Positive and Negative
Engineering Feb 12, 2026 6 min read

Sentiment Analysis 101: Beyond Positive and Negative

Dexra's Team

AI Engineering

The Nuance of Human Emotion

Traditional sentiment analysis classifies text as Positive, Negative, or Neutral. But in customer support, “Negative” isn’t enough. Is the customer angry? Disappointed? Urgent? Or just sarcastic?

Detecting Urgency vs. Anger

A customer saying “I need this fixed NOW” is urgent but maybe not angry yet. A customer saying “This is the third time I’m asking” is frustrated. Dexra’s models distinguish these nuances to route tickets differently.

  • Urgent: Route to available agent immediately.
  • Frustrated: Route to retention specialist or manager.

Handling Sarcasm

“Great, another delay. Just what I needed.” — A basic model sees “Great” and thinks Positive. Dexra’s context-aware models recognize the pattern of delay + “Just what I needed” as Sarcasm/Negative.

Real-time Triage

We process every incoming message in milliseconds. Before it even hits an agent’s inbox, it’s tagged with a sentiment score and an urgency flag. This allows for dynamic prioritization queues, ensuring the most critical fires are put out first.

Ready to automate your support?

Join 500+ companies using Dexra to reduce churn and answer tickets instantly.

Share this article:
Back to all articles