Skip to main content

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

Text Analytics APIs

Updated on May 17, 2024

The Text Analytics APIs directly separate the Intelligent Virtual Assistant (IVA) and Text Analyzer rules into independent modules. The introduction of modularity between these components provides more reliability by preventing potential IVA integration issues each time a text analyzer configuration changes.

APIs for text analyzers

The APIs cover all scenarios in which the IVA uses text analyzers, for example:

APIs for building text analytics models

The APIs handle such model-building activities as:

APIs for listing models and entity types

Additionally, the APIs can provide lists of all available text analytics models and entity types, for example:

  • D_pxTopicsInModel
  • D_pxTopicsInTextAnalyzer
  • D_pxListModelsInTextAnalyzerByType
  • D_pzEntityTypesInTextAnalyzer
  • D_pzGetEntityTypesForModel

For more information, see Listing all available text analytics models and entity types.

  • Previous topic Learning natural language processing with NLP Sample
  • Next topic Adding and removing models from text analyzers

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

Close Deprecation Notice
Contact us