https://github.com/mustafaturan/omnicat

A generalized rack framework for text classifications.
https://github.com/mustafaturan/omnicat

Last synced: 3 months ago
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A generalized rack framework for text classifications.

• Host: GitHub
• URL: https://github.com/mustafaturan/omnicat
• Owner: mustafaturan
• License: mit
• Created: 2013-06-15T22:45:37.000Z (over 12 years ago)
• Default Branch: main
• Last Pushed: 2021-01-13T06:38:43.000Z (almost 5 years ago)
• Last Synced: 2025-07-28T06:52:26.092Z (4 months ago)
• Language: Ruby
• Homepage:
• Size: 44.9 KB
• Stars: 11
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.txt
  • License: LICENSE.txt

Awesome Lists containing this project

• nlp-with-ruby - omnicat - (Machine Learning Libraries / Text-to-Speech-to-Text)
• machine-learning-with-ruby - omnicat - (Machine Learning Libraries / Statistical models)

README

          
# OmniCat

[![Build Status](https://travis-ci.org/mustafaturan/omnicat.png)](https://travis-ci.org/mustafaturan/omnicat) [![Code Climate](https://codeclimate.com/github/mustafaturan/omnicat.png)](https://codeclimate.com/github/mustafaturan/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.