# -*- encoding: utf-8 -*-
# stub: bow_tfidf 0.1.1 ruby lib

Gem::Specification.new do |s|
  s.name = "bow_tfidf".freeze
  s.version = "0.1.1".freeze

  s.required_rubygems_version = Gem::Requirement.new(">= 0".freeze) if s.respond_to? :required_rubygems_version=
  s.metadata = { "allowed_push_host" => "https://rubygems.org" } if s.respond_to? :metadata=
  s.require_paths = ["lib".freeze]
  s.authors = ["isidzukuri".freeze]
  s.bindir = "exe".freeze
  s.date = "2019-04-09"
  s.description = "In information retrieval, tf\u2013idf or TFIDF, short for term frequency\u2013inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus. It is often used as a weighting factor in searches of information retrieval, text mining, and user modeling. The tf\u2013idf value increases proportionally to the number of times a word appears in the document and is offset by the number of documents in the corpus that contain the word, which helps to adjust for the fact that some words appear more frequently in general.".freeze
  s.email = ["axesigon@gmail.com".freeze]
  s.files = ["Gemfile".freeze, "Gemfile.lock".freeze, "README.md".freeze, "Rakefile".freeze, "bin/console".freeze, "bin/setup".freeze, "bow_tfidf-0.1.0.gem".freeze, "bow_tfidf.gemspec".freeze, "lib/bow_tfidf.rb".freeze, "lib/bow_tfidf/bag_of_words.rb".freeze, "lib/bow_tfidf/classifier.rb".freeze, "lib/bow_tfidf/computation.rb".freeze, "lib/bow_tfidf/tokenizer.rb".freeze, "lib/bow_tfidf/version.rb".freeze]
  s.homepage = "https://github.com/isidzukuri/bow_tfidf".freeze
  s.rubygems_version = "3.5.10".freeze
  s.summary = "Tf\u2013idf is one of the most popular term-weighting schemes.".freeze

  s.specification_version = 4

  s.add_development_dependency(%q<bundler>.freeze, ["~> 1.13".freeze])
  s.add_development_dependency(%q<rake>.freeze, ["~> 10.0".freeze])
  s.add_development_dependency(%q<rspec>.freeze, [">= 0".freeze])
end