Analyzing Text with Custom Models

• Console
• CLI
• API

• 1. Open the navigation menu and click Analytics & AI. Under AI Services, click Language.
  2. Under Custom models, click Projects.
  3. Under List Scope, select the Compartment that has the project of interest.
  4. In the listed projects, click the project name.
  5. In the listed models, click the name of the model.
  6. Under Resources, click Analyze.
  7. Select the endpoint for the model.

     The alias is listed in the Alias field.

  8. Paste or enter text into the dialog box.
  9. Click Analyze.

  The results appear with relevant text and graphical scores.

  • Named Entity Recognition

    Shows the input text with the detected categories and confidence score graphically and colorized.

  • Text Classification

    Lists the identified document categories and confidence scores.

  • Personal Identifiable Information (PII)

    Shows the input and output text including entities. For information on customizing the output, see

  You can expand the individual results with the arrows.

  Click Show JSON to view, Copy, and Download the individual results. You can use Show standard results to return to the default view.

  Reset the page by clicking Reset

• Use the following commands to analyze text:

  oci ai language batch-detect-entities --endpoint-id <endpoint-id> –documents [<list-of-filenames>] ... [OPTIONS]
  
  

  oci ai language batch-detect-text-classification --endpoint-id <endpoint-id> --documents [<list-of-filenames>] ... [OPTIONS

  For a complete list of flags and variable options for CLI commands, see the CLI Command Reference.

• Run the following operations to analyze or translate text:

  • BatchDetectLanguageEntities

  • BatchDetectLanguageTextClassification