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
(Liu, Lee, Yu & Li, ICML'02).
Currently, we only provide the executable (.exe) version of the system (without source) for Windows PC. If you encounter any problem in running the program, please email us. If you MUST have a UNIX version, please let us know also.
If you have downloaded S-EM, please
send us an email so that we can put you in our mailinglist to inform
you any new versions and bug-fixes. We will also be very happy to hear your
comments about S-EM.
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Created on Dec 31 2002 by Bing Liu; and Xiaoli Li.