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 long documents such as novels. A number of 5 (authors) 5 (movies) arrays of movie reviews were acquired from the Internet Movie Database. Both ngram and naive Bayes classifiers were used to classify along both the au...

In the present research work, we deal with the problem of authorship attribution of ancient Arabic text documents, which were written by several ancient philosophers. For that purpose, we conducted several authorship attribution experiments applied with different text sizes. A special dataset, called “A4P” (Authorship Attribution for Ancient Arabic Philosophers), has been constructed by extract...

Fraudulent emails can be detected by extraction of authorship information from the contents of emails. This paper presents information extraction based on unique words from the emails. These unique words will be used as representative features to train Radial Basis function (RBF). Final weights are obtained and subsequently used for testing. The percentage of identification of email authorship ...

Authorship Identification techniques are used to identify the most appropriate author from group of potential suspects of online messages and find evidences to support the conclusion. Cybercriminals make misuse of online communication for sending blackmail or a spam email and then attempt to hide their true identities to void detection.Authorship Identification of online messages is the contemp...

Dissemination of research findings through the publication of one's work or a group of contributors is an important part of the research process, as this allows the passing on of benefits to a much wider community. In whatever evocative form this dissemination may take, the onus lies on the author(s) to ensure adherence to the code of ethics as it pertains to the integrity of the information be...

BACKGROUND Ghost authorship, the failure to name, as an author, an individual who has made substantial contributions to an article, may result in lack of accountability. The prevalence and nature of ghost authorship in industry-initiated randomised trials is not known. METHODS AND FINDINGS We conducted a cohort study comparing protocols and corresponding publications for industry-initiated tr...

We report on the first large-scale evaluation of author obfuscation approaches built to attack authorship verification approaches: the impact of 3 obfuscators on the performance of a total of 44 authorship verification approaches has been measured and analyzed. The best-performing obfuscator successfully impacts the decision-making process of the authorship verifiers on average in about 47% of ...

Authorship attribution is an important and emerging security tool. However, just as criminals may wear gloves to hide their fingerprints, so too may criminal authors mask their writing styles to escape detection. Most authorship studies have focused on cooperative and/or unaware authors who do not take such precautions. This paper analyzes the methods implemented in the Java Graphical Authorshi...

Most approaches to statistical stylometry have concentrated on lexical features, such as relative word frequencies or type-token ratios. Syntactic features have been largely ignored. This work attempts to fill that void by introducing a technique for authorship attribution based on dependency grammar. Syntactic features are extracted from texts using a common dependency parser, and those featur...

In this paper we present two different approaches for tackling the authorship attribution task. The first approach uses a set of phrase-level lexicalsyntactic features, whereas the second approach considers a graph-based text representation together with a data mining technique for discovering authorship patterns which may be further used for attributing the authorship of an anonymous document....