Published 2005
“…The use of probabilistic approaches such as
naïve Bayes
algorithm is the effective
algorithms currently known for learning to filter or classify text document.Naïve Bayes
algorithm is one of the
algorithms in
Machine Learning that manipulates probability
estimation or reasoning about the observed data.The growing of bulk e-mail or known as spam e-mail becomes a threat to users’ privacy and network load and in the case of e
-mail filtering,naïve Bayes classifier can be trained to automatically detect spam messages.Similar to the e-mail,
forum application may be misused by the user to send
bad messages and in some extent may offence other readers.
Forum filtering may be less
important compared to e-mail spam filtering;
however there is a possibility of using naïve Bayes to learn the messages and automatically detect bad messages.Most of the
forum application found in the web is applying keyword
based text filtering which scan the words and change the detected words into certain representation.Instead of defining
a set of keywords to filter the
forum messages, this paper will explains the
experiment in applying a learning to filter text especially in the
educational and anonymous
forum message, where there is no user registration required to submit messages.…”
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