Bayesian Spam Filter 1.1 (Default branch) |
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Bayesian Spam Filter is a class that can be used
to detect spam in text messages using Bayesian
techniques. It analyzes the text in terms of
n-grams in a way that is idiom independent. It can
be trained to progressively distinguish what is
spam and what is not spam by detecting patterns in
training samples. Training data is stored in a
MySQL database.
License: BSD License (original)
Changes:
A new algorithm (Fisher-Robinson's Inverse
Chi-square) was added. The knowledge database size
was decreased.
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