Brocardo et al. propose a supervised‑learning framework that leverages n‑gram stylometric features to perform authorship verification on short electronic messages, reporting an Equal Error Rate of 14.35 % for 500‑character blocks using the Enron email dataset.
Bears on: authorship & stylometry · concepts & methods