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Text-Mining Your E-mail
Misha writes "There have been a number of weeks/months in anyone's life that called for a better organization of your Inbox. filtering and folders work, but it'd be nice to have an text-mining tool running in the background that categorized incoming messages by topic as they arrive. It's nice to see that besides NLP research, there are some great algorithmic advances being done, as seen in this paper. Perhaps even one of them Perl monkeys will quickly hack such a background tool." Note: it's a PostScript file.
Here's a link to a terribly useful site for converting your postscripts and word docs into pdf or jpeg.
I was thinking of how to intentionally fail my drug test... It would make a good memoir story someday.
It automagically does full text indexing of all specified databases. To it, your Inbox is just another database.
"History doesn't repeat itself, but it does rhyme." Mark Twain
It's more general than e-mail, but in the wearable computing community, there's a little application called Remembrance Agent, written by Bradley Rhodes that many folks use. In terms of stand-alone UI, it's still quite primitive, but that's because it was built around dynamic hooks into Emacs.
I've been playing around with some Java-based wrapper code, to wrap the ra-retrieve executable in a Server and allow clients to access the data via sockets. I have a Java-based client coded up that hooks into the System clipboard, but it's still in alpha-mode. All GPL'd of course, but needs a little time to mature. It's a proof-of-concept, work in progress. :-)
Check out Brad's site for more insight into the work he did and is doing.
--The more you know, the less you know.
First, I sort out mail from the mailingslists I read.
Then, mail from friends, and people I correspond with a lot.
Finally, I have a weighted scoring recipe:
:0 Bh
* -199^0
#Assign an initial value of -199, mail gets filtered, if the score is above 0, at the end of the recipe.
* 50^1 ^(From|To):.*@hotmail.com
* 50^1 ^(From|To):.*@yahoo.com
* 50^1 ^(From|To):.*@aol.com
* 50^1 ^(From|To):.*@msn.com
* 50^1 ^(From|To):.*@excite.com
* 50^1 ^(From|To):.*@netscape.net
* 50^1 ^(From|To):.*@yahoo.co.uk
#Most mail to and from these domains is spam, so score it.
* 100^1 opt-out
* 50^1 opt-in
* 200^1 OTCBB
* 50^1 viagra
* 50^1 zyban
* 50^1 propecia
* 75^1 FREE
* 75^1 GUARANTEED
* 75^1 LEGAL
* 50^2 MILLIONAIRE
* 50^1 100%
#Words I only see in spam.
mail/Trash
This works quite well for me. If any spam gets through, I try to find some words, that I don't get in normal mail, and add them to the scoring.
/Styx
Message rules are very easy to set up and manage. No agents.
I have enjoyed using the VM module for Emacs. It allows sorting your entire Inbox into separate categorized mail boxes via regular expressions. Basically with one shift-A keystroke, my entire day's worth of mailing list stuff gets whisked away into a half-dozen different files. After this, I feel really sorry for people trapped in the Outlook dungeons!
Healthcare article at Kuro5hin
Welcome to Gnus. Have a sandwich.
(jfb)
To spur "enterprise Linux," Big Bang, the distributed two-phase commit.
"Perhaps even one of them Perl monkeys will quickly hack such a background tool."
Been done already. Check out Mail::Miner.
Matt. Want XML + Apache + Stylesheets? Get AxKit.
There's been lots of work on auto-classifying email. I did my semester project in Machine Learning on this in 1999. It's a fairly simple study, but it seems like a Naive Bayesian classifier using word counts as features does a pretty decent job of classifying email, and does really well on spam.
The paper is here here.
J.