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CRM114                             Classification made easyTuesday, December 14, 2010
“CRM114 is a system to examine incoming e-                mail, system log streams, data files or other                dat...
“Ruby interface to the CRM114 Controllable Regex             Mutilator, an advanced and fast text classifier that         ...
Classification?Tuesday, December 14, 2010
Bayesian FilteringTuesday, December 14, 2010
Paul Graham                              A Plan for SpamTuesday, December 14, 2010
• every email client               • replyz.com               • hatesitlovesitTuesday, December 14, 2010
Tuesday, December 14, 2010
apt-get install crm114Tuesday, December 14, 2010
gem install crm114Tuesday, December 14, 2010
crm = Classifier::CRM114.new([:spam,:ham])           crm.train!(:spam “Buy a Watch as a gift at a           discount!”)   ...
-rwxr-xr-x 1 jjulian staff 588696 Jul 8 17:41 /usr/local/bin/crm                                     spam.css             ...
live coding demo?Tuesday, December 14, 2010
hatesitlovesit.comTuesday, December 14, 2010
Jonathan Julian        @jonathanjulian      jonathanjulian.comTuesday, December 14, 2010
Resources               • http://crm114.sourceforge.net/               • https://github.com/bendiken/crm114               ...
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CRM114 - Classification made easy

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Presented to Bmore on Rails December 14, 2010.

bmoreonrails.org
hatesitlovesit.com
jonathanjulian.com

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Transcript of "CRM114 - Classification made easy"

  1. 1. CRM114 Classification made easyTuesday, December 14, 2010
  2. 2. “CRM114 is a system to examine incoming e- mail, system log streams, data files or other data streams, and to sort, filter, or alter the incoming files or data streams according to the users wildest desires.”Tuesday, December 14, 2010
  3. 3. “Ruby interface to the CRM114 Controllable Regex Mutilator, an advanced and fast text classifier that uses sparse binary polynomial matching with a Bayesian Chain Rule evaluator and a hidden Markov model to categorize data with up to a 99.87% accuracy”Tuesday, December 14, 2010
  4. 4. Classification?Tuesday, December 14, 2010
  5. 5. Bayesian FilteringTuesday, December 14, 2010
  6. 6. Paul Graham A Plan for SpamTuesday, December 14, 2010
  7. 7. • every email client • replyz.com • hatesitlovesitTuesday, December 14, 2010
  8. 8. Tuesday, December 14, 2010
  9. 9. apt-get install crm114Tuesday, December 14, 2010
  10. 10. gem install crm114Tuesday, December 14, 2010
  11. 11. crm = Classifier::CRM114.new([:spam,:ham]) crm.train!(:spam “Buy a Watch as a gift at a discount!”) crm.train!(:ham, "Ill see you all tomorrow morning.") crm.classify(“It seems I have to be at the New York office tomorrow.”)Tuesday, December 14, 2010
  12. 12. -rwxr-xr-x 1 jjulian staff 588696 Jul 8 17:41 /usr/local/bin/crm spam.css ham.cssTuesday, December 14, 2010
  13. 13. live coding demo?Tuesday, December 14, 2010
  14. 14. hatesitlovesit.comTuesday, December 14, 2010
  15. 15. Jonathan Julian @jonathanjulian jonathanjulian.comTuesday, December 14, 2010
  16. 16. Resources • http://crm114.sourceforge.net/ • https://github.com/bendiken/crm114 • http://www.elegantchaos.com/node/132 • http://www.paulgraham.com/spam.html • http://replyz.com • http://hatesitlovesit.com • http://www.youtube.com/watch? v=dm7yAWpX1McTuesday, December 14, 2010
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