Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/60010

Identifying Authorship from Linguistic Text Patterns

File Size Format  
0570.pdf 487.87 kB Adobe PDF View/Open

Item Summary

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
URI/DOI:http://hdl.handle.net/10125/60010
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Advances in Design Science Research


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons