Implementing a Markov Text Generator with 24 Years of Blog Posts
By
zdw
A baker's-dozen of insight crammed into one ring.
Summary
The article describes the author's implementation of a Markov text generator called Mark V. Shaney Junior, inspired by the original 1980s program that generated synthetic Usenet posts. The author explains how they fed 24 years of their blog posts into this Markov model to generate new text, discusses the technical implementation details, and shares examples of the output produced by the model.
Key quotes
· 3 pulledIt is a minimal implementation of a Markov text generator inspired by the legendary Mark V. Shaney program from the 1980s.
Mark V. Shaney was a synthetic Usenet user that posted messages to various newsgroups using text generated by a Markov model.
In this post, I will discuss my implementation of the model, explain how it works and share some of the results produced by it.
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