Defining topics for intelligent routing
When you set up a new Email channel as a Pega Email Bot, you can configure text analysis topics for the channel interface. Topics are a part of the selected taxonomy of a text analyzer rule and are used in natural language processing (NLP).
Topics are one of the methods used in the automatic routing capability to determine how to process the email content that was received from the user. You first define topics and later use them in routing conditions to help Email Bot make an informed guess about what to do with the received email based on its content. In a routing condition, you can specify to assign the email content to an operator, add it to a work queue, or create a top-level case.
You can also update the NLP model used for the configured Email channel so that subsequent text analysis results will have a better confidence score, and the entity extraction, topic detection, and sentiment analysis will be more accurate.
You can add, delete, or modify each topic definition in the list.
- Open an Email channel interface. For more information, see Configuring the Email channel.
- Click the Text analysis tab.
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Define a topic.
- Click + Add topic.
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Fill out the following fields:
- Topic - Required. The text analyzer topic for the Email channel to use as the response based on the Approximate match, Must match, and Never match criteria of the received email content.
- Approximate match - Optional. The comma-separated list of words or short phrases to use as an approximate match for the received email content that triggers the action assigned for the topic.
- Must match - Optional. The comma-separated list of words or short phrases to use as an exact match for the received email content that triggers the action assigned for the topic.
- Never match - Optional. The comma-separated list of words or short phrases to match in the received email content that will never trigger an action for the topic.
- Optional: Repeat step 3 to define additional topics.
- Click Save.