Text classification (TC) is an approach used for the classification of any kind of documents
for the target category or out. In this paper, we implemented the Support Vector Machines …

Textual deception constitutes a major problem for online security. Many studies have argued
that deceptiveness leaves traces in writing style, which could be detected using text …

This article builds on a mathematical explanation of one the most prominent stylometric
measures, Burrows's Delta (and its variants), to understand and explain its working. Starting …

The concept of literary genre is a highly complex one: not only are different genres
frequently defined on several, but not necessarily the same levels of description, but …

With the recent progress made in network and computing technology, the ubiquity of data,
and textual repositories freely available, the scientific practice evolves towards a more data …

This article aims to quantify the impact optical character recognition (OCR) has on the
quantitative analysis of historical documents. Using Eighteenth Century Collections Online …

In this paper, we introduce Profiling–UD, a new text analysis tool inspired to the principles of
linguistic profiling that can support language variation research from different perspectives. It …

Abstract Language reflects several cognitive variables that are grounded in cognitive
linguistics, psycholinguistics and sociolinguistics. This paper examines how Arab …

Las comedias conservadas atribuidas a Lope de Vega de las que tenemos noticia
sobrepasan el medio millar y han sido todas ellas objeto de análisis estilométricos dentro …

The aim of this study is to perform an evaluation of one hundred Spanish Golden Age
theatre plays of undisputed authorship using the R package stylo, the stylometric analysis …