SPACY

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 https://www.machinelearningplus.com/nlp/custom-text-classification-spacy/

https://v2.spacy.io/usage/training

https://towardsdatascience.com/sarcasm-text-classification-using-spacy-in-python-7cd39074f32e

https://v2.spacy.io/api/textcategorizer

Evaluate:

https://github.com/explosion/spaCy/blob/v2.3.5/spacy/language.py

Issue:

https://github.com/explosion/spaCy/issues/5322

https://course.spacy.io/en/chapter4

https://explosion.ai/blog/pseudo-rehearsal-catastrophic-forgetting





IMPORTANT:

Labels allow only letters. Categorization will not work if label contains Symbols (Numbers are not tested).


ITERATION DATA: i get excellent results with 500 items per category per training. With more than 500 item per training, you get bad score near 50% even after 500 trainings it stay on 50%. So don't use a lot of item per training!


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