Hello @nik202 . First of all i would like to thank you for your reponse.
I have seen rasa code https://github.com/RasaHQ/rasa/blob/main/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py#L68
stop_words is equal to None by default. We can add our custom stop words. For example, i have added french words expressing a desire (‘would’,‘aim’, wish, desire …).
For my problem, i have foud someone else that have the same issue
For information, when i have added stop words, my components\train_CountVectorsFeaturizer5/vocabularies.pkl file does not contain any stop words. This prove that stop_words have been been excluded. But when a user send a message, it does not work fine. i dont find how i can debug rasa in order to show more details about user message vectorization and classification.
Any more information please ?