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Sentiment Analysis automatically score the emotional tone of inbound comments (Public, Third Party, Approval). It then notifies your designated groups when the score is below your configured negativity threshold, allowing you to quickly identify and address potentially dissatisfied clients before issues escalate.
Sentiment Analysis

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Enable Sentiment Analysis

  1. Go to Settings → AI → Sentiment Analysis
  2. Toggle Sentiment Analysis on
  3. Set your Score Range and what you classify as Negative/Positive
  4. Toggle whether you’d like to score the first comment.
    NOTE: First comments will typically score lower due to the inherent nature of support requests.
  5. Select which Groups should receive notifications when a comment is classified as negative
  6. Click Update
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How It Works

  • AI analyzes the text of each inbound comment (Public, Third Party, Approval)
  • Each comment receives a sentiment score (ranging from 1 to 100)
  • Negative scores indicate unhappy clients (1 being extremely negative)
  • When a comment’s score falls below your negative threshold, notifications are sent to the designated groups
  • The sentiment score is displayed by hovering the profile icon next to each comment in the ticket timeline
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Troubleshooting

Too many notifications? Adjust your threshold to a lower value (more negative) to only be alerted for very negative comments. Missing negative comments? Move your threshold to a higher value (less negative) to catch more subtle expressions of dissatisfaction. Non-English comments? Sentiment Analysis supports multiple languages, but may be most accurate with English content.