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arXiv · 1911.01208

Higher Criticism for Discriminating Word-Frequency Tables and Testing Authorship

Alon Kipnis
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Abstract

We adapt the Higher Criticism (HC) goodness-of-fit test to measure the closeness between word-frequency tables. We apply this measure to authorship attribution challenges, where the goal is to identify the author of a document using other documents whose authorship is known. The method is simple yet performs well without handcrafting and tuning; reporting accuracy at the state of the art level in various current challenges. As an inherent side effect, the HC calculation identifies a subset of discriminating words. In practice, the identified words have low variance across documents belonging to a corpus of homogeneous authorship. We conclude that in comparing the similarity of a new document and a corpus of a single author, HC is mostly affected by words characteristic of the author and is relatively unaffected by topic structure.

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BibTeXRIS

Alon Kipnis. 2019-10-30. Higher Criticism for Discriminating Word-Frequency Tables and Testing Authorship. https://doi.org/10.1214/21-aoas1544

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