SFE also augments multinomial Naive Bayes with the frequency information P (w), although in a manner distinct from MNB-FM.
sFE uses the equality P (+|w) = P (+, w)/P (w) and estimates the rhs using P (w) computed over all the unlabeled data, rather than using only labeled data as in standard MNB.