Whose Rap is it Anyways ? Using Machine Learning to Determine Hip-Hop Artists from their Vocabulary

This paper presents results of using supervised classification models to predict the authorship of rap lyrics based solely on the vocabulary. The models were trained on approximately two thousand songs by twelve artists. The strongest resulting model is capable of classifying the original artist correctly 74% of the time on unseen lyrics.