General troubleshooting tips for NLP
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.
- Check whether your text is working as expected in the underlying text prediction by running an individual test or a batch test.
- Based on the test results, perform one of the following actions:
- If topics or entities are not detected correctly, see Topics or entities are not detected.
- If the language is not coming through correctly, see Language is not detected.
- If you are still unsure about the cause of the issue, test
the model independently, using the same text.
Note: Text predictions can filter out some output based on general text prediction settings, which you might notice when you test the text directly on the model and not in the text prediction. - If the model detects topics or entities correctly, but you did not get
the same results when you tested the text prediction, check the general
settings of the text prediction.
Note: Text prediction settings can filter out some of the output that you expect to see.
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