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Identifying Authorship from Linguistic Text Patterns

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Title:Identifying Authorship from Linguistic Text Patterns
Authors:Madden, Joshua
Storey, Veda C.
Baskerville, Richard
Keywords:Advances in Design Science Research
Organizational Systems and Technology
authorship, design science, linguistics, zipf's law
Date Issued:08 Jan 2019
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.
Pages/Duration:10 pages
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections: Advances in Design Science Research

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