Automatic genre identification (AGI) is a text classification task focused on genres, ie, text
categories defined by the author's purpose, common function of the text, and the text's …

Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …

This software paper describes 'Stylometry with R'(stylo), a flexible R package for the
highlevel analysis of writing style in stylometry. Stylometry (computational stylistics) is …

Text genre classification is the process of identifying functional characteristics of text
documents. The immense quantity of text documents available on the web can be properly …

Authorship attribution supported by statistical or computational methods has a long history
starting from the 19th century and is marked by the seminal study of Mosteller and Wallace …

Statistical authorship attribution has a long history, culminating in the use of modern
machine learning classification methods. Nevertheless, most of this work suffers from the …

One of the problems often associated with online anonymity is that it hinders social
accountability, as substantiated by the high levels of cybercrime. Although identity cues are …

We present a novel method for computer-assisted authorship attribution based on
characterlevel n-gram author profiles, which is motivated by an almost-forgotten, pioneering …

Character n-grams have been identified as the most successful feature in both singledomain
and cross-domain Authorship Attribution (AA), but the reasons for their discriminative value …

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 …