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Add misclassified text #7

@evidencebp

Description

@evidencebp

Misclassified texts are valuable in model improvements.
They are hard to find and might indicate an implementation bug or linguistic expression that is not covered well.

If you find such a case, please open an issue with:

  • The text
  • The model that should classify it
  • An explanation why the text should be classified differently

Extra

  • Adding the text to the relevant tests
  • Gut feeling why doe the model fail
  • A pull request fixing that (without lowering the performance in other cases)

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