--- !ruby/object:Gem::Specification
name: bow_tfidf
version: !ruby/object:Gem::Version
  version: 0.1.1
platform: ruby
authors:
- isidzukuri
autorequire: 
bindir: exe
cert_chain: []
date: 2019-04-09 00:00:00.000000000 Z
dependencies:
- !ruby/object:Gem::Dependency
  name: bundler
  requirement: !ruby/object:Gem::Requirement
    requirements:
    - - "~>"
      - !ruby/object:Gem::Version
        version: '1.13'
  type: :development
  prerelease: false
  version_requirements: !ruby/object:Gem::Requirement
    requirements:
    - - "~>"
      - !ruby/object:Gem::Version
        version: '1.13'
- !ruby/object:Gem::Dependency
  name: rake
  requirement: !ruby/object:Gem::Requirement
    requirements:
    - - "~>"
      - !ruby/object:Gem::Version
        version: '10.0'
  type: :development
  prerelease: false
  version_requirements: !ruby/object:Gem::Requirement
    requirements:
    - - "~>"
      - !ruby/object:Gem::Version
        version: '10.0'
- !ruby/object:Gem::Dependency
  name: rspec
  requirement: !ruby/object:Gem::Requirement
    requirements:
    - - ">="
      - !ruby/object:Gem::Version
        version: '0'
  type: :development
  prerelease: false
  version_requirements: !ruby/object:Gem::Requirement
    requirements:
    - - ">="
      - !ruby/object:Gem::Version
        version: '0'
description: In information retrieval, tf–idf or TFIDF, short for term frequency–inverse
  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–idf 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.
email:
- axesigon@gmail.com
executables: []
extensions: []
extra_rdoc_files: []
files:
- Gemfile
- Gemfile.lock
- README.md
- Rakefile
- bin/console
- bin/setup
- bow_tfidf-0.1.0.gem
- bow_tfidf.gemspec
- lib/bow_tfidf.rb
- lib/bow_tfidf/bag_of_words.rb
- lib/bow_tfidf/classifier.rb
- lib/bow_tfidf/computation.rb
- lib/bow_tfidf/tokenizer.rb
- lib/bow_tfidf/version.rb
homepage: https://github.com/isidzukuri/bow_tfidf
licenses: []
metadata:
  allowed_push_host: https://rubygems.org
post_install_message: 
rdoc_options: []
require_paths:
- lib
required_ruby_version: !ruby/object:Gem::Requirement
  requirements:
  - - ">="
    - !ruby/object:Gem::Version
      version: '0'
required_rubygems_version: !ruby/object:Gem::Requirement
  requirements:
  - - ">="
    - !ruby/object:Gem::Version
      version: '0'
requirements: []
rubyforge_project: 
rubygems_version: 2.7.4
signing_key: 
specification_version: 4
summary: Tf–idf is one of the most popular term-weighting schemes.
test_files: []