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+From: Jameson Graef Rollins <jrollins@finestructure.net>\r
+To: Notmuch Mail <notmuch@notmuchmail.org>\r
+Subject: notspam: a notmuch interface to spamassassin\r
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+Date: Tue, 05 Mar 2013 22:43:12 -0800\r
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+\r
+--=-=-=\r
+Content-Type: text/plain\r
+\r
+Hey, folks. I put together a little python program as an interface\r
+between notmuch and spamassassin (sa) that I thought others might be\r
+interested in:\r
+\r
+git://finestructure.net/notspam\r
+\r
+It's only dependencies are a running local sa daemon and python-notmuch.\r
+It's pretty straightforward: it's just a single python script that has\r
+two main functions 'learn' and 'tag'. 'Learn' takes a notmuch search\r
+and pipes the resulting messages into sa (via sa-learn) to be classified\r
+as ham or spam. 'Tag' takes a notmuch search and passes the resulting\r
+messages through the sa classifier (via spamc) to be tagged as ham or\r
+spam.\r
+\r
+Here's how I've been using it:\r
+\r
+ * Tag spam manually with the tag 'spam'. It's good to have done this\r
+ for a while to build up a good amount of manual classification.\r
+\r
+ * Once you've got some manual classification, teach sa:\r
+\r
+ notspam learn spam tag:spam\r
+ notspam learn ham not tag:spam\r
+\r
+ Everything after the meat ('spam'/'ham') are the notmuch search\r
+ terms. Rerun this periodically to update, but you might want to\r
+ restrict the search a little so sa-learn doesn't eat a lot of\r
+ overhead reprocessing old messages that haven't changed\r
+ classification.\r
+\r
+ * Call 'notspam tag' in your post-new hook (all my new messages are\r
+ tagged 'new' initially):\r
+\r
+ notspam tag --spam=spamd tag:new\r
+\r
+ I give the sa-classified mail a different tag so it's easy to\r
+ distinguish what was classified by me and what was classified by sa.\r
+\r
+Pretty simple. See 'notspam help' for more info.\r
+\r
+Right now it's geared specifically for sa, but it would be easy to\r
+expand it to handle arbitrary learn/classify commands. If there's any\r
+further interest in this, I would be happy to help push on it more.\r
+\r
+jamie.\r
+\r
+PS: if anyone has any suggestions for Bayesian classifiers better than\r
+sa I'm all ears. I'm not so happy with sa at the moment. It misses a\r
+lot more spam than I would like. Maybe I just haven't tweaked it out\r
+yet, in which case if anyone has any suggestions on how to improve sa's\r
+classification I'm also all ears.\r
+\r
+--=-=-=\r
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+--=-=-=--\r
projects / notmuch-archives.git / commitdiff