A Systematic Exploration of Style Breach Detection Methods during Author Attribution Process

Rajesh Shardanand Prasad, Midhun Chakkaravarthy

Detecting and accrediting authorship of diverse text corpus can be advantageous for numerous tasks and domains comprising bibliometrics, information retrieval and plagiarism detection. Various researchers have illustrated authorship attribution techniques into these domains. Authors here extend the concept by combining authorship information for identifying corpus author to further style breach detection. To do this, researchers review diverse methods from text segmentation to those analyzing the spreading of stylometric features across the document and thereby to predict the number of authors accordingly or style change detection. Some experiments are conducted. This review will create a solid platform that will help implementation of potential applications of stylometry, plagiarism exposure, stylistic fingerprints etc. Authors analyze various research outcomes while highlighting their strengths and weaknesses as a baseline for further study.

Volume 12 | 06-Special Issue

Pages: 220-228

DOI: 10.5373/JARDCS/V12SP6/SP20201026