A Markov Implementation

Installation

Clone from Github, and then execute:

$ bundle

Usage

Fuller documentation will come shortly. For now, let's see how we can use Markovian to build some tweets from a Twitter archive we've downloaded:

> path = #{path_to_twitter_archive}
 => path_to_twitter_archive
> importer = Markovian::Importers::Twitter::CsvImporter.new(path)
 => #<Markovian::Importers::Twitter::CsvImporter:0x007fd0ca3282a8 @path=path_to_twitter_archive>
# now assemble the corpus of tweets -- this may take a few seconds to compile
> corpus = importer.corpus
 => #<Markovian::Corpus:0x007fd0ca03df70 ...>
# Now, we can build some text!
> Markovian::TextBuilder.new(corpus).construct("markov")
=> "markov chains a lot better than a month, i've been here half an hour of night when you can get behind belgium for the offline train journey"

Exactly!

Development

After checking out the repo, run bin/setup to install dependencies. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

tokeneyes: a tokenizing system used by Markovian that provides info on punctuation and sentence flow (to be incorporated shortly)
markovian-lambda: an inchoate set of utility classes for using Markovian, eventually with AWS Lambda.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/arsduo/markovian. 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.

License