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twitter-classifier

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18796bdff5e91ae660195c001b7dd036dd560b49

Linkify links

ttrydionel committed 14 years ago
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1191fc18c33ab80079f44b8261730a322117b814

Adding readme

ttrydionel committed 14 years ago
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Add Gemfile

ttrydionel committed 14 years ago
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111032b65aaa19611b9c2e05c94c2711a7f68ae0

Move examples into examples/

ttrydionel committed 14 years ago
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9f0a592b9339c46e6c6c34cf3ee5fefd0a492537

Add Twitter "firehose" example

ttrydionel committed 14 years ago
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40b9b167aca8d91baa39d2e0cf783f9b8fdbc5a4

Ignore generated .model files

ttrydionel committed 14 years ago

README

The README file for this repository.

Twitter Classifiers

My attempts at using text classification schemes to interpret Twitter stream data. Built on Ruby 1.9.2 (not sure if it works on 1.8).

Displayed Methods

  • Naive Bayes Classifier
  • Support Vector Machines
  • Simple word frequency

Examples

  • Retweet classifier
  • "Happy tweet" classifier
  • Manual classifier
  • Twitter "firehose" plumbing

Resources

Todo

  • Add more examples
  • Address the distinct lack of tests