Frame Hub

Frame Help Center

Welcome to the Frame Help Center developer hub. You'll find comprehensive guides and documentation to help you start working with Frame as quickly as possible, as well as support if you get stuck. Let's jump right in!

Get Started    

Auto-Tagging

Auto-tagging is a powerful way to discover new conversations and continually enrich your data.

With auto-tagging enabled, Frame will automatically apply the tag to conversations which match its trained model.

Candidates for Auto-Tagging

Frame's success team can assist you in training auto-tagging models. In general, here are some characteristics of tags that are ready for auto-tagging:

What to Look For

What to Avoid

The tag comprises exchanges which have language patterns directly observable in the messages themselves.

  • The tag represents a higher-level intent or product category that cannot be inferred from the message text.
  • The tag represents the inbound channel (e.g., chat/email), not the contents of the message.
  • The tag represents an aspect of the speaker's identity (e.g., "VIP"), not the contents of the message.

The tag is specific enough to be associated with message text that is in some way similar across exchanges.

The tag is a "catch-all" for any kind of activity, such as a tag called "Support".

Updated about a year ago

Auto-Tagging


Suggested Edits are limited on API Reference Pages

You can only suggest edits to Markdown body content, but not to the API spec.