Stylometric Feature Selection
Stylometric Feature Selection is the systematic process of identifying and prioritizing linguistic features from textual data that most effectively discriminate authorial style in authorship attribution studies.
165
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6.1K
Citations
471
Authors
195
Institutions
Publications per year
2017–2026
54
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165
Ahmed Abbasi, Hsinchun Chen · ACM Transactions on Information Systems · 2008 · 402 citations
Authorship Attribution with Support Vector Machines
Joachim Diederich, Jörg Kindermann, Edda Leopold · Applied Intelligence · 2003 · 339 citations
Jon Oberlander, Scott Nowson · 2006 · 208 citations · Full text
Author Age Prediction from Text using Linear Regression
Dong Nguyen, Noah A. Smith, Carolyn Penstein Rosé · Figshare · 2018 · 180 citations · Full text
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Pontifícia Universidade Católica do Paraná
Curitiba, Brazil
5 h-index
13 publications
227 citations
University of Arizona
Tucson, United States
4 h-index
7 publications
1.1K citations

Bar-Ilan University
Ramat Gan, Israel
4 h-index
6 publications
634 citations

University of Neuchâtel
Neuchâtel, Switzerland
4 h-index
6 publications
262 citations

University of Alabama at Birmingham
Birmingham, United States
3 h-index
7 publications
240 citations
University of Würzburg
Würzburg, Germany
3 h-index
14 publications
1.2K citations
Jordan University of Science and Technology
Irbid, Jordan
3 h-index
8 publications
238 citations

National Institute of Astrophysics, Optics and Electronics
Puebla City, Mexico
3 h-index
6 publications
217 citations
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8 publications · 206 citations
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DSH · 4 publications · 383 citations
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LLC · 4 publications · 193 citations
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Repository · 3 publications · 119 citations
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3 publications · 39 citations
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