Ruigi

Ruigi = Ruby + Luigi

It is said that the name of Luigi came from similarity( it's called "ruigi" in Japanese) to Mario. And Ruigi is similarity calculation library, which is implemented by Ruby.

algorithms

Now, only support TF-IDF and cosine similarity.

Installation

Add this line to your application's Gemfile:

gem 'ruigi'

And then execute:

$ bundle

Or install it yourself as:

$ gem install ruigi

Usage

1. array of words -> Ruigi::Document

   words = ["word1", "word2", ... , "wordN"]
   document1 = Ruigi::Document.new(words)
   

2. Make a Model from documents of array

   corpus = [document1, document2, ... , documentN] # each element's type is Ruigi::Document.
   model = Ruigi::Model.new(corpus)
   

3. You can get feature vector for each document and calculate similarity between document.

   model.feature_vector_of(0) # => return feature vector of 0th document
   

   etc...

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/naoki-k/ruigi.
This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.