I have a questionnaire consisting with 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 Neural Networks (CNN) before in relation to image classifying. But when dealing with text classifying, where should I start? Is there some sort of tutorial out there that covers this with a similar example?
Thanks in advance.