Obviously, it depends, but assuming you do have an NLP use case already, there are certain things that you will almost certainly have to do in your preprocessin

Obviously, it depends, but assuming you do have an NLP use case already, there are certain things that you will almost certainly have to do in your preprocessing regardless of your task. For example, sentence parsing. Writing your own basic sentence parser is fairly easy. Writing your own _good_ sentence parser is a nightmare akin to trying to parse HTML with regex. SpaCy provides a very good one for you. Down the line it will help you train a model on various tasks in a compute efficient manner as well. This is just a small example.