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Machine Learning for Authorship Attribution and Cyber Forensics pp 45–56Cite as

Authorship Analysis Approaches

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Part of the International Series on Computer Entertainment and Media Technology book series (ISCEMT)

Abstract

This chapter presents an overview of authorship analysis from multiple standpoints. It includes historical perspective, description of stylometric features, and authorship analysis techniques and their limitations.

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Author information

Authors and Affiliations

  1. Zayed University, Abu Dhabi, United Arab Emirates

    Farkhund Iqbal

  2. School of Engineering & Computer Science, Concordia University, Montreal, QC, Canada

    Mourad Debbabi

  3. School of Information Studies, McGill University, Montreal, QC, Canada

    Benjamin C. M. Fung

Authors
  1. Farkhund Iqbal
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  2. Mourad Debbabi
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  3. Benjamin C. M. Fung
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Iqbal, F., Debbabi, M., Fung, B.C.M. (2020). Authorship Analysis Approaches. In: Machine Learning for Authorship Attribution and Cyber Forensics. International Series on Computer Entertainment and Media Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-61675-5_4

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