A Prototype for Authorship Attribution Studies
Identifieur interne : 001124 ( Main/Exploration ); précédent : 001123; suivant : 001125A Prototype for Authorship Attribution Studies
Auteurs : Patrick Juola ; John Sofko ; Patrick BrennanSource :
- Literary and Linguistic Computing [ 0268-1145 ] ; 2006-06.
Abstract
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, P. (2004a). Ad-hoc Authorship Attribution Competition. In Proceedings 2004 Joint International Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ALLC/ACH 2004), Göteborg, Sweden)].
Url:
DOI: 10.1093/llc/fql019
Affiliations:
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<front><div type="abstract" xml:lang="en">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, P. (2004a). Ad-hoc Authorship Attribution Competition. In Proceedings 2004 Joint International Conference of the Association for Literary and Linguistic Computing and the Association for Computers and the Humanities (ALLC/ACH 2004), Göteborg, Sweden)].</div>
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