This academic paper by Tweedie et al. explores the application of neural networks to stylometry, specifically in the context of authorship attribution, using The Federalist Papers as a case study. The research bears on authorship attribution and stylometry, combining statistical methods with neural networks to produce a classification tool for identifying authors.
Bears on: authorship & stylometry · concepts & methods