The analysis of authorial style, termed stylometry, assumes that style is quantifiably
measurable for evaluation of distinctive qualities. Stylometry research has yielded several …

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 …

Ways of individual style expression in a natural language include amongst other things
stylometric features. These can be automatically detected with the use of computational …

Authorship analysis deals with the identification of authors which is a problem of text data
mining and classification. There are numerous techniques and algorithms that have been …

Lateral phishing attacks can be devastating for users and organisational IT teams as these
originate from legitimate, but compromised, email accounts that benefit from the implicit trust …

Whistleblowing is essential for ensuring transparency and accountability in both public and
private sectors. However,(potential) whistleblowers often fear or face retaliation, even when …

Authorship attribution is a stylometric technique that associates text to authors based on the
type of writing styles. Researchers have looked for ways to analyze the context of these …

Author Identification (AI) is one of the applications of text mining. It is a technique to identify
anonymous author of electronic-text. This paper presents a survey on present techniques for …

In an increasingly computer-mediated world, it is easier to start conversations with people
online, making it convenient to build trust with people based on their online persona. This …

Stylometry is the measurement of certain expressible features of writing style, and its uses
include the characterization of authors for recognition in cases of text whose authorship is …