Skip to main content


         This documentation site is for previous versions. Visit our new documentation site for current releases.      
 

Accessing text analytics resources

Updated on May 17, 2024

View and manage the resources that you created or uploaded in the process of building a machine learning model for text analytics, such as taxonomies for topic detection and sentiment lexicons for sentiment analysis and intent detection.

  1. In the navigation pane of Prediction Studio, click DataResources.
  2. Optional: To access a taxonomy, select a resource of type Taxonomy and perform one of the following actions:
    • To test the taxonomy with real-life text samples, click Test.
    • To view the .csv file that contains the topic hierarchy with the associated keyword configuration, click Download taxonomy.
    • For model-based taxonomies: To download the binary file that contains the taxonomy model, click Download model.
    • To update the existing taxonomy by modifying the associated keyword configuration or training a topic detection model for a specific language, click Update language.
    • To modify the resource status, in the Details section on the right, expand the Status drop-down and select a status type.
  3. Optional: To access a sentiment lexicon, select a resource of type Lexicon and perform one of the following actions:
    • To upload a .csv file that contains a sentiment lexicon, click Import.
    • To download a .csv file that contains this sentiment lexicon, click Export.
    • To modify the resource status, in the Details section on the right, expand the Status drop-down and select a status type.
  4. Click Save.

Have a question? Get answers now.

Visit the Support Center to ask questions, engage in discussions, share ideas, and help others.

Did you find this content helpful?

Want to help us improve this content?

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us