OmniCat

A generalized framework for text classifications.

Installation

Add this line to your application's Gemfile:

gem 'omnicat'

And then execute:

$ bundle

Or install it yourself as:

$ gem install omnicat

Usage

Stand-alone version of omnicat is just a strategy holder for developers. Its aim is providing omnification of methods for text classification gems with loseless conversion of a strategy to another one. End-users should see 'classifier strategies' section and 'changing classifier strategy' sub section.

Changing classifier strategy

OmniCat allows you to change strategy on runtime.

# Declare classifier with Naive Bayes classifier
classifier = OmniCat::Classifier.new(OmniCat::Classifiers::Bayes.new())
...
# do some operations like adding category, training, etc...
...
# make some classification using Bayes
classifier.classify('I am happy :)')
...
# change strategy to Support Vector Machine (SVM) on runtime
classifier.strategy = OmniCat::Classifiers::SVM.new
# now you do not need to re-train, add category and so on..
# just classify with new strategy
classifier.classify('I am happy :)')

Classifier strategies

Here is the classifier list avaliable for OmniCat.

Naive Bayes classifier

• gem 'omnicat-bayes'
• Details: http://github.com/mustafaturan/omnicat-bayes

Contributing

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request

Copyright

Copyright © 2013 Mustafa Turan. See LICENSE for details.