A Markov Implementation

Clone from Github, and then execute:

$ bundle

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:

> chain = Markovian::Chain.new
> chain.lengthen("there", next_word: "friend")
> chain.lengthen("there", next_word: "are")
> chain.lengthen("are", next_word: "four", previous_word: "four")
> chain.lengthen("four", next_word: "lights", previous_word: "four")
> chain.lengthen("are", next_word: "we")
> chain.lengthen("friend", next_word: "cat")
> chain.lengthen("cat", next_word: "rocks", previous_word: "friend")
# Now, we can build some text!
> Markovian::TextBuilder.new(chain).construct("there")
=> "there friend cat rocks"

Exactly!

Markovian is most easily used with the markovian-tools gem, which provides utilities for importing Twitter and Facebook archives and for posting tweets, among other things.

So far, Markovian gives you the ability to, given a set of inputs, generate random text. In addition, your money gets you:

• A built-in filter to remove final words that statistically (in the corpus) rarely end sentences. Avoid unsightly sentences ending in "and so of" and so on!

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.

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.

The gem is available as open source under the terms of the MIT License.