Literary and Linguistic Computing Advance Access published online on April 12, 2006
Literary and Linguistic Computing, doi:10.1093/llc/fql019
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1 Duquesne University, Pittsburgh
* To whom correspondence should be addressed. Despite a century of research, statistical and computational methods for authorship attribution are neither reliable, well-regarded, widely used, or well-understood. This article presents a survey of the current state of the art as well as a framework for uniform and unified development of a tool to apply the state of the art, despite the wide variety of methods and techniques used. The usefulness of the framework is confirmed by the development of a tool using that framework that can be applied to authorship analysis by researchers without a computing specialization. Using this tool, it may be possible both to expand the pool of available researchers as well as to enhance the quality of the overall solutions [for example, by incorporating improved algorithms as discovered through empirical analysis (Juola, 2004a)].
Original Papers
A Prototype for Authorship Attribution Studies
Patrick Juola 1 *,
John Sofko 1,
and
Patrick Brennan 1
Patrick Juola, E-mail: juola{at}mathcs.duq.edu
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