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Analyzed 3 months ago. based on code collected 3 months ago.

Project Summary

Are you tired of the constant bombardment of your inbox by unwanted email pushing everything from porn to get rich quick schemes? Have you tried other spam filters but become disenchanted with them when you realized that their manually generated rule sets weren't updated fast enough to keep up with spammers wording changes? Or that they generated unwanted false positive scores?

SpamProbe operates on a different basis entirely. Instead of using pattern matching and a set of human generated rules SpamProbe relies on a Bayesian analysis of the frequency of words used in spam and non-spam emails received by an individual person. The process is completely automatic and tailors itself to the kinds of emails that each person receives.

Tags

antispam bayesian email filter smtp spam

In a Nutshell, SpamProbe...

This Project has No vulnerabilities Reported Against it

Did You Know...

  • ...
    use of OSS increased in 65% of companies in 2016
  • ...
    compare projects before you chose one to use
  • ...
    65% of companies leverage OSS to speed application development in 2016
  • ...
    data presented on the Open Hub is available through our API

Languages

Languages?height=75&width=75
C++
51%
Autoconf
33%
shell script
6%
6 Other
10%

30 Day Summary

Feb 22 2019 — Mar 24 2019

12 Month Summary

Mar 24 2018 — Mar 24 2019

Ratings

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