How many training data(sentences) are required for custom NER using spacy python?[Just rought idea]
For the custom NER model from Spacy, you will definitely require around 100 samples for each entity that too without any biases in your dataset.
All this is as per my experience.
Suggestion -:
Spacy Custom model you can explore, but for production level or some good project, you can't be totally dependent on that only, You have to do some NLP/ Relation Extraction, etc. along with this.
Hope this helps.
I want to know let's say I have 10 custom entities to recognize how much annotated training sentences should I give (Any rough idea) ??
Thank You, in Advance!! :)
I am new to this, please help