I have a questionnaire consisting of over 10 questions. The questionnaire is being answered by a lot of people, which I have manually graded. Each question can give the user up to 10 points depending on how they have answered.
Let's say that my dataset is big enough, how would I go about using a neural network to automatically grade these questions for me?
I have used a convolutional neural network before for image classification, but, when dealing with text classification, where should I start? Is there some sort of tutorial out there that covers this with a similar example?