Software

S-EM (which stands for Spy-EM) is a text learning or classification system that learns from a set of positive and unlabeled examples (without negative examples). This type of learning is different from classic text learning (or classification). In classic learning, both positive and negative training examples are required. S-EM is based on a "spy" technique, the naive Bayesian classification and the EM algorithm. The naive Bayesian classifier can be used alone. Further details and the downloadable system can be found at

http://www.cs.uic.edu/~liub/S-EM/S-EM-download.html