Identifying Authorship from Linguistic Text Patterns

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dc.contributor.authorMadden, Joshua
dc.contributor.authorStorey, Veda C.
dc.contributor.authorBaskerville, Richard
dc.date.accessioned2019-01-03T00:41:42Z
dc.date.available2019-01-03T00:41:42Z
dc.date.issued2019-01-08
dc.description.abstractResearch 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.extent10 pages
dc.identifier.doihttps://doi.org/10.24251/HICSS.2019.693
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/60010
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAdvances in Design Science Research
dc.subjectOrganizational Systems and Technology
dc.subjectauthorship, design science, linguistics, zipf's law
dc.titleIdentifying Authorship from Linguistic Text Patterns
dc.typeConference Paper
dc.type.dcmiText

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