Authorship verification attempts to decide whether the author of a given set of texts is also
the author of a disputed text. In comparison to closed-set and open-set attribution, the most …

Research in automatic text plagiarism detection focuses on algorithms that compare
suspicious documents against a collection of reference documents. Recent approaches …

In this paper, a novel approach is presented for authorship identification in English and Urdu
text using the LDA model with n‐grams texts of authors and cosine similarity. The proposed …

In the recent years, text-based digital forensic has evolved into a major research domain that
supports digital investigation. A piece of text can be a critical source of information that is …

The article focuses on a careful description of literature on stylometry and on its potential use
in forensic science. The state of the art of stylometry is summarized to illustrate the history …

In this paper we compare different compression models for authorship attribution. To this
end, three different types of compressors, Lempel-Ziv type (GZip), block sorting type (BZip) …

A central problem that has been researched for many years in the field of digital text
forensics is the question whether two documents were written by the same author …

Determining the author of a text is a difficult task. Here, we compare multiple Artificial
Intelligence techniques for classifying literary texts written by multiple authors by taking into …

Author identification is an important aspect of literary analysis, studied in natural language
processing (NLP). It aids identify the most probable author of articles, news texts or social …

Authorship verification (AV) is a research branch in digital text forensics that deals with the
problem to determine whether two documents were written by the same author. Research …