Increment the counts while reading all the tokens in documents and normalize them properly in order to serve as the prior/conditional probabilities for a naive Bayes classifier. What technique is being described here?
A) Feature scaling
B) Text preprocessing
C) Dimensionality reduction
D) Regularization