To detect the sentiment of the incoming emails, which type of prediction do you need to configure in Prediction Studio?

The management team at U+ Insurance wants to improve the experience of dissatisfied customers. The customers send the feedback through email.

To detect the sentiment of the incoming emails, which type of prediction do you need to configure in Prediction Studio?
A . Pega Customer Decision Hub™ prediction.
B. Sentiment detection does not require any predictions.
C. Case management prediction.
D. Text analytics prediction.

Answer: D

Explanation:

To detect the sentiment of the incoming emails, you need to configure a text analytics prediction1234 in Prediction Studio. A text analytics prediction is a type of prediction that uses natural language processing (NLP) to analyze text data and extract insights, such as topics, entities, and sentiments. You can use a text analytics prediction to detect the sentiment of an email based on its content and assign a score ranging from -1 (negative) to 1 (positive). This can help you improve the customer experience by identifying dissatisfied customers and taking appropriate actions.