algo generative text twitterbots

@nk_markov

North Korea recently published a list of 300 patriotic slogans, which read remarkably like Markov generated sentences. I’ve never been a huge fan of Markov chains for creating text, since the results can be somewhat haphazard and ungrammatical. However, when the source text is itself haphazard and ungrammatical, it seems fitting.
@nk_markov takes these 300 aphroisms as source for a Markov system, and generates new pithy slogans and marries them to images of the glorious leader himself.



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