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Maintainer: Jens Peter Secher <jps@debian.org>
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Build-Depends: debhelper (>= 7), quilt, autotools-dev
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Maintainer: Jari Aalto <jari.aalto@cante.net>
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Build-Depends: debhelper (>= 7.1), bash (>= 3), autotools-dev
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Homepage: http://people.csail.mit.edu/jrennie/ifile
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Vcs-Hg: http://hg.debian.org/hg/collab-maint/ifile/ifile
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Standards-Version: 3.8.1
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X-Old-Vcs-Hg: http://hg.debian.org/hg/collab-maint/ifile/ifile
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Standards-Version: 3.8.4
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Vcs-Browser: http://git.debian.org/?p=collab-maint/ifile.git.up.git
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Vcs-Git: git://git.debian.org/git/collab-maint/ifile.git.up.git
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Depends: ${shlibs:Depends}
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Depends: ${misc:Depends}, ${shlibs:Depends}
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Description: a text/e-mail/spam filter capable of learning
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A text filter that uses machine learning to classify texts into
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groups. ifile works great as a spam filter. The text is
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classified by a simple statistical method called Naive Bayes, which
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basically considers each text an unordered collection of words and
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classifies by matching the distribution with the most closely
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matching group distribution. Alternatives to ifile are
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annoyance-filter, bogofilter, spamoracle, and spamprobe.
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groups. ifile works great as a spam filter. The text is classified by
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a simple statistical method called Naive Bayes, which basically
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considers each text an unordered collection of words and classifies
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by matching the distribution with the most closely matching group
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distribution. Alternatives to ifile are annoyance-filter, bogofilter,
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spamoracle, and spamprobe.