The authorship of questioned documents often constitutes important evidence in criminal
and civil cases. Linguistic stylistic analysis can often help to determine authorship …

The vast majority of previous studies in authorship attribution assume the existence of
documents (or parts of documents) labeled by authorship to be used as training instances in …

We present an unsupervised explainable vector embedding technique, called EVE, which is
built upon the structure of Wikipedia. The proposed model defines the dimensions of a …

In this paper, we propose a novel idea to solve the problem of Author Clustering which is
introduced in PAN-2017 Author Identification task. First, we use word embeddings that …

Identifying academic plagiarism is a pressing problem, among others, for research
institutions, publishers, and funding organizations. Detection approaches proposed so far …

Authorial clustering involves the grou** of documents written by the same author or team
of authors without any prior positive examples of an author's writing style or thematic …

This article provides a comprehensive summary of how candidates running in the 2020 US
Presidential Elections used Twitter to communicate with the public. More specifically, it aims …

Cyber-bullying includes repeated acts with the aim of scaring, angering, or embarrassing
those who are targeted Cyber-bullying is happening along with the rapid development of …

Identifying the authorship either of an anonymous or a doubtful document constitutes a
cornerstone for automatic forensic applications. Moreover, it is a challenging task for both …

Establishing the exact number of authors collaborating in writing a document is the focus of
writing styles change detection models. However, existing writing style change detection …