What separates this project from other Naïve Bayesian email classifiers?

A few things actually…

  • First, POPFile is not tied to a certain brand or type of email client or server.
  • POPFile is written in Perl. As Perl is available for a wide array of platforms, POPFile is compatible with a very wide array of computers.
  • It is a highly configurable email classifier, not simply a spam filter. Email can be classified to any number of categories you define.
  • POPFile uses pseudowords to handle various message elements and spammer tricks to help improve accuracy.
  • POPFile doesn't use heavyhanded approaches like blacklists or excessively openended approaches like whitelists, both of which can be problematic when they make a mistake.
  • As a general mail filter, it stands out from the crowd as it has the capacity to learn, and learn quickly.
  • As a spam filter, it stands out due to its high accuracy and elegance through simplicity in design.
faq/whybetter.txt · Last modified: 2013/10/10 15:02 by

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