The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi
hotspots, and distributed networks like Tor has drastically complicated the task of identifying …

Linguistic metaphors have been woven into the fabric of molecular biology since its
inception. The determination of the human genome sequence has brought these metaphors …

Statistical authorship attribution has a long history, culminating in the use of modern
machine learning classification methods. Nevertheless, most of this work suffers from the …

With the rapid proliferation of Internet technologies and applications, misuse of online
messages for inappropriate or illegal purposes has become a major concern for society. The …

Ted Kaczynski's manifesto. The ransom note for Jon Ben Ramsey. The anthrax letters
threatening our government and media agencies. With the aid of forensic linguistics, the …

Recent literary scholarship has seen a shift of interest away from questions of attribution. Yet
these questions remain urgent and important for any historical study of writing, and have …

Work on authorship attribution has traditionally focused on long texts. In this work, we tackle
the question of whether the author of a very short text can be successfully identified. We use …

Authorship attribution is the process of assigning an author to an anonymous text based on
writing characteristics. Several authorship attribution methods were developed for natural …

Large, real world, data sets have been investigated in the context of Authorship Attribution of
real world documents. Ngram measures can be used to accurately assign authorship for …

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 …