Text Processing In Deep Learning. Please Help me.
I am working on model to check and give marks to some sort of educational text answers. If I use linear regression than answers given by model would be linearly dependent. If I use logistic regression with classes like (0.1,0.2,...,0.9,1.0) and than multiply with total marks.
Which model should I use to implement this fast and accurately?
And also, if we design a model and don't check for over fiting or under fitting, what is probability of occurance of errors.? (is it possible that we just train models and not pamper them with regularization and still it will work?)