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Text Analytics APIs

Updated on July 5, 2022

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

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