PEGACPDS88V1 Exam Dumps - Certified Pega Data Scientist 8.8

Sentiment refers to the general attitude of the author towards a subject and can be negative.

When defining outcomes for an adaptive model, you must define one or more positive behavior values, which indicate that the customer accepted or responded to the offer. You can also define negative and neutral behavior values, but they are optional. References: https://academy.pega.com/module/predicting-customer-behavior-using-real-time-data-archived/topic/configuring-adaptive-models

 A text categorization model is a type of text analytics model that can analyze the incoming messages and assign them to predefined categories, such as positive, negative, or neutral sentiment. This way, CSRs can focus on negative messages that require immediate attention or escalation. References: https://academy.pega.com/module/text-analytics/topic/creating-text-categorization-model

To measure the boost in success rate AI generates, you need a control action that is offered to random customers.