Saving the topic detection model

Save the model to use it as part of the Pega Platform text analytics feature. You can also download a file that contains the model that you created.

In the Model selection wizard step, perform one of the following actions:

1. If you want to export the binary file that contains the model that you created, next to the model, click Download model file.

2. Complete the model creation process by clicking Create.

3. Click Save.

• Creating machine-learning topic detection models

  Efficiently connect your customers with the right consultant by providing training data to a topic detection model.

• Detecting the topics of text fragments

  Efficiently categorize and rout customer inquiries to the corresponding customer service consultant with topic detection. Topic detection scans a piece of text and determines the underlying topic, and then automatically assigns the text to a predefined category.

• Analyzing natural language

  Effortlessly analyze and extract meaningful information from large volumes of text with the use of text analytics. Based on your findings, you can further improve business performance and customer experience.

• Text analytics accuracy measures

  Models predict an outcome, which might or might not match the actual outcome. The following measures are used to examine the performance of text analytics models. When you create a sentiment or classification model, you can analyze the results by using the performance measures that are described below.