State of the Art in Authorship Attribution With Impact Analysis of Stylometric Features on Style Breach Prediction

Author:

Prasad Rajesh Shardanand1ORCID,Chakkaravarthy Midhun2ORCID

Affiliation:

1. MIT Art, Design, and Technology University, Pune, India

2. Lincoln University College, Malaysia

Abstract

The most influential research was studied that spans over the domains from Authorship attribution and stylometry. The reference material contributes robust classifiers with reasonable array of feature extraction techniques, such as Dirichlet–multinomial change point regression to extract the progress of inscription elegance with time, comprising plodding variations in stylishness as the author ages and unexpected vicissitudes. This paper presents quantifiable evaluation of the research in terms of year-wise research output, diversity of applications, nature of collaboration, characteristics of highly productive techniques and the benchmark of performance criteria by eminent high impact researchers. The outcomes of this study can by deployed for dialectology analysis and corpus linguistics, stylistics, natural language processing, classification, and literary and historical analysis, forensic analysis etc.

Publisher

IGI Global

Subject

Information Systems and Management,Strategy and Management,Computer Science Applications,Information Systems

Reference38 articles.

1. Authorship verification of opinion articles in online newspapers using the idiolect of author: a comparative study

2. Ensemble Methods for Instance-Based Arabic Language Authorship Attribution

3. Authorship Attribution;S.Alrabaee;Binary Code Fingerprinting for Cybersecurity. Advances in Information Security,2020

4. Belvisi, N., Muhammad, N., & Alonso-Fernandez, F. (2020). Forensic Authorship Analysis of Microblogging Texts Using N-Grams and Stylometric Features. Academic Press.

5. On divergence-based author obfuscation: An attack on the state of the art in statistical authorship verification

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