Patrick Pantel and Dekang Lin,
SpamCop: A Spam Classification & Organization Program,
In AAAI Workshop on Learning for Text Categorization,
Madison, Wisconsin, July 1998.
Patrick Pantel and Dekang Lin,
SpamCop: A Spam Classification & Organization Program,
In AAAI Workshop on Learning for Text Categorization,
Madison, Wisconsin, July 1998.We present a simple, yet highly accurate, spam filtering program, called Spam�Cop, which is able to identify about 92% of the spams while misclassifying only about 1.16% of the nonspam e�mails. SpamCop treats an e�mail message as a multiset of words and employs a naive Bayes algorithm to determine whether or not a message is likely to be a spam. Compared with keyword�spotting rules, the probabilistic approach taken in SpamCop not only offers high accuracy, but also overcomes the brittleness suffered by the keyword spotting approach.