Identifying Authorship from Linguistic Text Patterns

Date
2019-01-08
Authors
Madden, Joshua
Storey, Veda C.
Baskerville, Richard
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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.
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Advances in Design Science Research, Organizational Systems and Technology, authorship, design science, linguistics, zipf's law
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10 pages
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Proceedings of the 52nd Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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