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Published in 2017 at "Natural Language Engineering"
DOI: 10.1017/s1351324917000249
Abstract: Abstract The efficacy of syntactic features for topic-independent authorship attribution is evaluated, taking a feature set of frequencies of words and punctuation marks as baseline. The features are ‘deep’ in the sense that they are… read more here.
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Published in 2022 at "Natural Language Engineering"
DOI: 10.1017/s1351324921000383
Abstract: Abstract Authorship attribution – the computational task of identifying the author of a given text document within a set of possible candidates – has been attracting interest in Natural Language Processing research for many years.… read more here.
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2930536
Abstract: Authorship attribution (AA) is a stylometric analysis task of finding the author of an anonymous/disputed text document. In AA, the performance improvement of class-based feature selection schemas, such as Chi-square, and Gini index over frequency-based… read more here.
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034932
Abstract: Source Code Authorship Attribution can answer many interesting questions such as: Who wrote the malicious source code? Is the source code plagiarized, and does it infringe on copyright? Source Code Authorship Attribution is done by… read more here.
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Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3067736
Abstract: Authorship attribution (AA) is an important task, as it identifies the author of a written text from a set of suspect authors. Different methodologies of anonymous writing have been discovered with the rising usage of… read more here.
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Published in 2023 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3123895
Abstract: The world is facing a new era in which social media communication plays a fundamental role in people’s lives. Along with proven benefits, several collateral drawbacks have risen, one being the widespread of false information… read more here.
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Published in 2023 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3138700
Abstract: Code authorship attribution aims to identify the author of software source code according to the author’s unique coding style characteristics. The lack of benchmark data in the field, forced researchers to employ various resources that… read more here.
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Published in 2018 at "PLoS ONE"
DOI: 10.1371/journal.pone.0193703
Abstract: 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. While traditional statistical methods based solely on word… read more here.