Identifying Authorship from Linguistic Text Patterns

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dc.contributor.author Madden, Joshua
dc.contributor.author Storey, Veda C.
dc.contributor.author Baskerville, Richard
dc.date.accessioned 2019-01-03T00:41:42Z
dc.date.available 2019-01-03T00:41:42Z
dc.date.issued 2019-01-08
dc.description.abstract Research that deals with linguistic text patterns is challenging because of the unstructured nature of text. This research presents a methodology to compare texts to identify whether two texts are written by the same or different authors. The methodology includes an algorithm to analyze the proximity of text, which is based upon Zipf’s Law [47][48]. The results have implications for text mining with applications to areas such as forensics, natural language processing, and information retrieval.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2019.693
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/60010
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Advances in Design Science Research
dc.subject Organizational Systems and Technology
dc.subject authorship, design science, linguistics, zipf's law
dc.title Identifying Authorship from Linguistic Text Patterns
dc.type Conference Paper
dc.type.dcmi Text
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