| S-EM is a text learning or classification system that learns from a set of positive and unlabeled examples (no negative examples). It is based on a "spy" technique, naive Bayes and EM algorithm. The detailed algorithm is given in (Liu, Lee, Yu & Li, ICML'02). | | |