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sentimentalizer

This is totally ripped off of from sentimentalizer which was inspired by Sentan.

This gem is designed to integrate directly with rails.

Dependency Dependency Status

Travis Build Status

Codeclimate Code Climate

Instructions for use

  1. Install gem using bundler gem "sentimentalizer"

  2. Run rails g sentimentalizer. This will generate an initializer file with after_initialize hook. It's basically training a model to use in the application. It will run everytime you start server or run any rake commands.

  3. Now, you can run following after require "sentimentalizer"

Sentimentalizer.analyze('message or tweet or status')
  1. You will get output like this
Sentimentalizer.analyze('i am so happy')
=> {'text' => 'i am so happy', 'probability' => '0.937', 'sentiment' => ':)' }

Contributing to sentimentalizer

  • Check out the latest master to make sure the feature hasn't been implemented or the bug hasn't been fixed yet.
  • Check out the issue tracker to make sure someone already hasn't requested it and/or contributed it.
  • Fork the project.
  • Start a feature/bugfix branch.
  • Commit and push until you are happy with your contribution.
  • Make sure to add tests for it. This is important so I don't break it in a future version unintentionally.
  • Please try not to mess with the Rakefile, version, or history. If you want to have your own version, or is otherwise necessary, that is fine, but please isolate to its own commit so I can cherry-pick around it.

Copyright

Copyright (c) 2012 malavbhavsar. See LICENSE.txt for further details.

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Sentiment analysis with Machine Learning

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  • Ruby 100.0%