Does prodigy TextCat have a functionality something like ner.correct ?

Hi, I would like to ask if prodigy TextCat has the same feature like ner.correct, where I get text pre-labelled for me and I just correct it? textcat.teach does not seem to work fine for multiclass annotation and I feel like something like ner.correct would do better.

Hi! I think what you're looking for is the textcat.correct recipe, which was introduced in Prodigy v1.11:

It lets you load in an existing trained text classifier and will pre-select the categories predicted by the model. You can then correct the predictions manually. The --threshold option lets you configure the score required to consider a category as applying.

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Yes, exactly what I am looking for, thank you so much! :sweat_smile: