The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi
hotspots, and distributed networks like Tor has drastically complicated the task of identifying …

Comics are complex documents whose reception engages cognitive processes such as
scene perception, language processing, and narrative understanding. Possibly because of …

This article introduces a new stylometric method that combines supervised machine-
learning classification with the idea of sequential analysis. Unlike standard procedures …

Abstract Hildegard of Bingen (1098–1179) is one of the most influential female authors of
the Middle Ages. From the point of view of computational stylistics, the oeuvre attributed to …

The world is facing a new era in which social media communication plays a fundamental
role in people's lives. Along with proven benefits, several collateral drawbacks have risen …

Close Reading with Computers Page 1 Page 2 Close Reading with Computers Page 3 This
page intentionally left blank Page 4 CLOSE READING with COMPUTERS Textual Scholarship …

Based on Burrows's measure of stylometric difference that uses frequencies of most frequent
words, Rolling Delta is a method for revealing stylometric signals of two (or more) authors in …

Multivariate analysis of word frequencies is used to identify the gender of authors in a corpus
of 18th-and early 19th-century English sentimentalist and Gothic fiction. Results obtained …

We discuss a real‐world application of a recently proposed machine learning method for
authorship verification. Authorship verification is considered an extremely difficult task in …

Stylometric techniques are usually applied to a limited number of typical tasks, such as
authorship attribution, genre analysis, or gender studies. However, they could be applied to …