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General troubleshooting tips for NLP

Updated on May 17, 2024

When you encounter a problem while working with the natural language processing (NLP) features of your application, take these steps to identify and understand the underlying cause.

  1. Check whether your text is working as expected in the underlying text analyzer by testing the text analyzer rule.
  2. Based on the test results, perform one of the following actions:
  3. If you are still unsure about the cause of the issue, test the model independently, using the same text.
    Note: Text analyzers can filter out some output based on their settings, which you might notice when you test the text directly on the model and not in the text analyzer.
  4. If the model detects topics or entities correctly, but you did not get the same results when you tested the text analyzer, check the advanced settings of the text analyzer.
    Note: Text analyzer settings can filter out some of the output that you expect to see.

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