What are Keywords? Why are they required?

Keywords help you automatically organize and identify similar responses in Text Analysis. By adding keywords to a tag, responses containing those words or phrases can be grouped and tagged more efficiently, making it easier to search, filter, and analyze feedback.

For example, if you create a tag called Delivery Problems and add keywords like late delivery, delay, or shipping issue, responses containing these terms can be quickly identified under the same tag.

How to Add Tags and Keywords

There are two ways to add tags in Text Analysis:

1. Add Tags Directly from a Response

• Open the Train Verbatim section.
• Click the + icon beside a response.
• Type a new tag name or select an existing tag.
• Press Enter to open the Add Tag modal.
• Add keywords related to the tag and save.

2. Add Tags from the “Add Tags” Option

• Click Add Tags from the left panel.
• Choose either:
  • Add Tags Manually – Create a tag and add keywords yourself.
  • Suggest Tags with AI – Generate tag suggestions automatically using AI.
• Complete the tag details in the modal and save.

Why are Keywords Important?

• Automatically group similar responses
• Improve search and filtering of feedback
• Reduce manual tagging effort
• Make response analysis faster and more accurate