AI Text Analysis automatically analyzes your open-ended responses to identify sentiment, assign tags, and extract keywords, helping you uncover trends and organize customer feedback with minimal manual effort.

To run AI Text Analysis:

1. Go to Text Analytics.
2. Open the Train Verbatim tab.
3. Review or create tags if required using the Manage Tag panel.
4. Click Run Analysis in the top-right corner.
5. Select the analysis you want to perform:
   • AI Sentiment Analysis – Classifies each response as Positive, Neutral, or Negative.
   • AI Tag Analysis – Automatically assigns relevant tags to responses based on their content.
   • Keyword Analysis – Identifies frequently occurring words and phrases to highlight common themes.
6. Wait for the analysis to complete. The responses will be updated with the selected AI-generated insights.

What happens after running the analysis?

• Sentiment Analysis categorizes each verbatim by its overall tone.
• Tag Analysis groups similar responses into meaningful themes such as Customer Support, Delivery Issues, or Pricing.
• Keyword Analysis identifies recurring terms and phrases, helping you quickly discover common topics and trends.

Improve AI Accuracy

To achieve more accurate results:

• Review AI-generated sentiments and update them if required.
• Add or modify tags to better reflect your business context.
• Include relevant keywords while creating tags so similar responses can be automatically categorized in future analyses.
• Re-run AI Tag Analysis after creating or updating tags to apply the latest tagging rules across your responses.

Best Practices

• Start by running AI Tag Analysis and Sentiment Analysis on new data.
• Review a sample of responses to validate the AI-generated results.
• Use consistent tag names and keywords to maintain a structured tagging system.
• Periodically retrain the AI by correcting sentiments and refining tags as new feedback patterns emerge.