Let's imagine I have a dataset of movie reviews with annotated sentiment:
-1 means negative 0 means neutral +1 means positive
I see a lot of people trying to do classification to try to answer those types of problems, but shouldn't regression be used instead? To me using regression would allow the system to model that there is a transition between labels, e.g. 0 is in between. Any thoughts on this?