Dataset of authorship attribution from short-text multi topic representative in Bahasa IndonesiaMendeley Data [PDF]
Data in BriefAuthorship attribution plays an important role in various applications, including digital forensics, Yauthorship verification, and the analysis of online textual content.
Yohan Muliono +3 more
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Authorship attribution of source code by using back propagation neural network based on particle swarm optimization. [PDF]
PLoS ONE, 2017 Authorship attribution is to identify the most likely author of a given sample among a set of candidate known authors. It can be not only applied to discover the original author of plain text, such as novels, blogs, emails, posts etc., but also used to ...
Xinyu Yang +4 more
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Mental profile mapping: A psychological single-candidate authorship attribution method. [PDF]
PLoS ONE, 2018 Modern authorship attribution methods are often comprised of powerful yet opaque machine learning algorithms. While much of this work lends itself to concrete outcomes in the form of probability scores, advanced approaches typically preclude deeper ...
Ryan L Boyd
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Authorship Attribution with Topic Models [PDF]
Computational Linguistics, 2022 Authorship attribution deals with identifying the authors of anonymous texts. Traditionally, research in this field has focused on formal texts, such as essays and novels, but recently more attention has been given to texts generated by on-line users, such as e-mails and blogs.
Yanir Seroussi +2 more
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Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey
Information (Switzerland)Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection
Dilli P Sharma +2 more
exaly +3 more sources
Naïve Bayes classifiers for authorship attribution of Arabic texts
Journal of King Saud University - Computer and Information Sciences, 2014 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 languages, such as English, Chinese and Dutch.
Mohamed El Bachir Menai
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Authorship attribution based on Life-Like Network Automata. [PDF]
PLoS ONE, 2018 The authorship attribution is a problem of considerable practical and technical interest. Several methods have been designed to infer the authorship of disputed documents in multiple contexts.
Jeaneth Machicao +4 more
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Authorship Attribution on Short Texts in the Slovenian Language
Applied Sciences (Switzerland), 2023 The study investigates the task of authorship attribution on short texts in Slovenian using the BERT language model. Authorship attribution is the task of attributing a written text to its author, frequently using stylometry or computational techniques ...
Peter Peer +2 more
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Meta-Heuristic Guided Feature Optimization for Enhanced Authorship Attribution in Java Source Code
IEEE Access, 2023 Source code authorship attribution is the task of identifying who develops the code based on learning based on the programmer style. It is one of the critical activities which used extensively in different aspects such as computer security, computer law,
Bilal Al-Ahmad +8 more
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Unsupervised Text Style Transfer for Authorship Obfuscation in Bahasa Indonesia
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 Authorship attribution is an NLP task to identify the author of a text based on stylometric analysis. On the other hand, authorship obfuscation aims to protect against authorship attribution by modifying a text’s style.
Yunita Sari, Fadhlan Pasyah Al Faridzi
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