Degree
Master of Science in Computer Science
Department
Department of Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Date of Submission
2020-06-30
Supervisor
Dr. Quratulain Rajput, Assistant Professor, Faculty of Computer Science
Document type
MSCS Survey Report
Abstract
Author attribution has been a challenging area of research for many years. It is very helpful in identifying the author of an unknown document. Using features extracted from the documents with known authors we try and match the features with features extracted from document with unknown author. But during the last few years’ technology has substantially advanced. Many new software’s invented, many new algorithms created.
Research advances in areas of information retrieval, natural language processing and machine learning have helped in making the author attribution easier. So the author attribution from the past has now comparably improved in terms of accuracy and is now used in many different areas like plagiarism detection and others.
The main focus of the paper is mainly on the approaches used for author attribution. In this research we will discuss various author attribution approaches that have been discovered in recent years. Furthermore, discuss their merits and demerits.
Recommended Citation
Sattar, M. (2020). Author attribution: a survey of modern attribution methods (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/10
The full text of this document is only accessible to authorized users.
