Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …

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 …

Authorship attribution, the science of inferring characteristics of the author from the
characteristics of documents written by that author, is a problem with a long history and a …

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 …

Applications of various data analytics technologies to security and criminal investigation
during the past three decades have demonstrated the inception, growth, and maturation of …

Most previous work on authorship attribution has focused on the case in which we need to
attribute an anonymous document to one of a small set of candidate authors. In this paper …

Authorship identification remains a highly topical research problem in computational text
analysis with many relevant applications in contemporary society and industry. For this …

Linguistic style is an essential part of written communication, with the power to affect both
clarity and attractiveness. With recent advances in vision and language, we can start to …

This position paper focuses on the use of function words in computational authorship
attribution. Although recently there have been multiple successful applications of authorship …

Background: Frequency of occurrence is a strong predictor of lexical processing across
modalities and experimental paradigms. However, frequency is part of a large set of …