Select whether to use the text analyzer within the case context, outside of the case context, or both.

1. Select or define a text analyzer rule for this definition type with the sentiment, classification, topic, and entity extraction analysis.
2. Select whether you want to detect entities or topics within the case context, outside of the case context, or both.
3. To ensure that the chatbot engages users in casual conversations, select the Enable small talk checkbox.
4. In the Text analyzer rule field, create or select a text analyzer rule.
5. To modify the text analyzer rule settings, click the Open Text Prediction field.

   For more information, see Building text analyzers.

6. To modify the text analyzer rule settings, click Open text analyzer in Dev Studio, make changes, and then in the lower-left of the page click Back to Pega App Studio.

   The option to modify the text analyzer rule is only available if you have access to Dev Studio.

   For more information, see Building text analyzers.

1. Select whether you want to detect entities or topics within the case context, outside of the case context, or both.
2. To allow users to add training data for the text models, select the Enable model training checkbox.
3. To ensure that the chatbot engages users in casual conversations, select the Enable small talk checkbox.
4. To modify the text prediction settings, click Open Text Prediction.
   For more information, see Analyzing messages with text predictions.
5. To modify the text analyzer rule that underlies the text prediction, click Open Text Analyzer in Dev Studio, make changes, and then in the lower-left of the page, click Back to Pega App Studio.
   For more information, see Building text analyzers.

This type of analysis integrates text analytics with strategies, propositions, and interaction history to provide the context for making better next-best-action decisions. For more information, see Customizable Interaction API for text analytics.