Positive unlabeled learning (PU) (De Comite et al., 1999;Liu et al., 2002) may be then used for deceptive review spam detection (Hernandez et al., 2013).
this clearly contrasts with our problem, where our training data contains a complete labeled set of positive (spam) and negative (nonspam) reviews besides the unlabeled set of review data.