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 …

Presidential speeches indicate the government's intentions and justifications supported by a
dedicated style and rhetoric oscillating between explanation and controversy. Over a period …

In recent decades, there has been an increasing interest in the relation between lexical
features and texts of psychological states. Previous studies demonstrated that some lexical …

Authorship attribution, ie task of revealing the author of a disputed text, is one of challenging
issues facing digital forensics. Cross-domain authorship attribution when training and test …

This study explores the feasibility of cross-linguistic authorship attribution and the author's
gender identification using Machine Translation (MT). Computational stylistics experiments …

In response to the COVID-19 pandemic, Apple Inc. switched its product launch from onsite
events to pre-recorded online broadcasts. Yet this form has been carried on even though the …

This study analyzes the style and content of 25,590 tweets sent by eight candidates during
the French presidential election (from 1 September 2021 to 24 April 2022). During this …

This study analyzes the stylistic and rhetorical aspects of Trump's tweets, focusing mainly on
tweets sent during his electoral and presidential period. As stylometric findings should be …

Sequences formed by symbols are found in diverse fields, including genome sequences,
written texts and computer codes. An interesting question is whether a sequence of symbols …

The aim of this study is to find parameters that can be used for classification of not very long
texts, for example, by author, genre, etc. We go through various known parameters and …