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Source: spamoracle
Section: net
Priority: optional
Maintainer: Debian OCaml Maintainers <debian-ocaml-maint@lists.debian.org>
Uploaders: Samuel Mimram <smimram@debian.org>, Stefano Zacchiroli <zack@debian.org>, Sylvain Le Gall <gildor@debian.org>
Build-Depends: debhelper (>> 6.0.0), ocaml-nox (>= 3.10), dpatch
Standards-Version: 3.7.3
Vcs-Svn: svn://svn.debian.org/svn/pkg-ocaml-maint/trunk/packages/spamoracle/trunk
Vcs-Browser: http://svn.debian.org/wsvn/pkg-ocaml-maint/trunk/packages/spamoracle/trunk/
Package: spamoracle
Architecture: amd64 hurd-i386 i386 kfreebsd-i386 powerpc sparc
Depends: ${shlibs:Depends}
Conflicts: spamoracle-byte
Replaces: spamoracle-byte
Description: A statistical analysis spam filter based on Bayes' formula
SpamOracle, a.k.a. "Saint Peter", is a tool to help detect and filter away
"spam" (unsolicited commercial e-mail). It proceeds by statistical analysis
of the words that appear in the e-mail, comparing the frequencies of words
with those found in a user-provided corpus of known spam and known legitimate
e-mail. The classification algorithm is based on Bayes' formula, and is
described in Paul Graham's paper, A plan for spam.
.
This program is designed to work in conjunction with procmail. The result of
the analysis is output as an additional message header X-Spam:, followed by
yes, no or unknown, plus additional details. A procmail rule can then test
this X-Spam: header and deliver the e-mail to the appropriate mailbox.
Package: spamoracle-byte
Architecture: all
Depends: ${shlibs:Depends}, ocaml-base-nox-${F:OCamlABI}
Provides: spamoracle
Conflicts: spamoracle
Replaces: spamoracle
Description: A statistical analysis spam filter based on Bayes' formula
SpamOracle, a.k.a. "Saint Peter", is a tool to help detect and filter away
"spam" (unsolicited commercial e-mail). It proceeds by statistical analysis
of the words that appear in the e-mail, comparing the frequencies of words
with those found in a user-provided corpus of known spam and known legitimate
e-mail. The classification algorithm is based on Bayes' formula, and is
described in Paul Graham's paper, A plan for spam.
.
This program is designed to work in conjunction with procmail. The result of
the analysis is output as an additional message header X-Spam:, followed by
yes, no or unknown, plus additional details. A procmail rule can then test
this X-Spam: header and deliver the e-mail to the appropriate mailbox.
.
This package contains the arch independent bytecode version. Consider using
the faster nativecode version if it is available on your arch.
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