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Duquesne

Best Practices in Authorship Attribution of English Essays

Abstract

dc:description.abstract

Logistic regression analysis is used to determine the best practices in authorship attribution for English essays, specifically examining the methods available in JGAAP version 4.3 and their performance on problem A of the AAAC corpus. Best practices were determined by ranking the logistic regression coefficient estimates and odds ratios for the set of predictor variables.

Degree

thesis:*
Name thesis:degree_name
MS
Level thesis:degree_level
Immediate Access
Discipline thesis:degree_discipline
Computational Mathematics
Year dc:date.available
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Vescovi, Darren
Contributors dc:contributor
  • Patrick Juola
  • John C. Kern
  • Donald Simon
  • James Swindal

Subjects

dc:subject × 3

Rights

Language dc:language
English

Identifiers

dc:identifier.*
Repository record dc:identifier
https://dsc.duq.edu/etd/1310
OAI identifier oai:identifier
oai:dsc.duq.edu:etd-2326

Chain of custody

source
Harvested from
Duquesne
Base URL
dsc.duq.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Vescovi, Darren. Best Practices in Authorship Attribution of English Essays. Immediate Access thesis, 2011. https://dsc.duq.edu/etd/1310