Using Machine Learning To Generate Human-Readable News Articles

TL;DR Abstract - I built ZombieWriter, a Ruby gem that will enable users to generate news articles by aggregating paragraphs from other sources. It can use either machine learning algorithms (Latent Semantic Analysis and k-means clustering) or randomization to generate human-readable articles. In this article, I demonstrate how ZombieWrtier can use machine learning to create a Markdown file containing 17 human-readable articles. After finishing the demonstration and comparing the output to a randomization process, I then explain possible "future research" plans to improve the text generation process. I am not yet ready to claim that this technology is disruptive. Machine learning is hot (to put it mildly). The paradigm of using data instead of code to program machines has been applied to solve a variety of real-world problems.