Unsupervised Authorship Attribution
Unsupervised Authorship Attribution is a methodological framework within computational stylometry that, without relying on prior labeled training data, identifies the likely authorship of textual documents by clustering or structuring unlabeled samples based on intrinsic stylistic patterns.
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3.3K
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109
Authors
58
Institutions
Publications per year
2017–2026
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Bar-Ilan University
Ramat Gan, Israel
5 h-index
10 publications
706 citations
University of Houston
Houston, United States
2 h-index
7 publications
1.2K citations

University of Neuchâtel
Neuchâtel, Switzerland
2 h-index
4 publications
144 citations

Universidad Autónoma de la Ciudad de México
Mexico City, Mexico
2 h-index
3 publications
75 citations
Government Sadiq College Women University
Bahawalpur, Pakistan
2 h-index
2 publications
61 citations

University of South Australia
Adelaide, Australia
2 h-index
7 publications
269 citations

Islamia University of Bahawalpur
Bahawalpur, Pakistan
2 h-index
4 publications
122 citations

National Institute of Astrophysics, Optics and Electronics
Puebla City, Mexico
2 h-index
7 publications
1.2K citations
1–8 of 58
LLC · 3 publications · 272 citations
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JASIST · 3 publications · 1.2K citations
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2 publications · 38 citations
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JASIST · 2 publications · 273 citations
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1 publications · 12 citations
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