This paper introduces local histograms of character n‑grams as a document representation that retains sequential information and evaluates its effectiveness for authorship attribution, demonstrating superior performance to global‑histogram baselines, particularly on imbalanced or limited training data, and suggesting applicability to related tasks such as authorship verification and plagiarism detection.
Bears on: authorship & stylometry · concepts & methods