Stylometry of literary papyri
In this paper we present the first results of stylometric analysis of literary papyri. Specifically we perform a range of tests for unsupervised clustering of authors. We scrutinise both the best classic distance-based methods as well as the state-of-the-art network community detection techniqes. We...
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| Auteurs principaux: | , |
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| Format: | Chapter/Article Conference Paper |
| Langue: | anglais |
| Publié: |
08 May 2019
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| In: |
Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage
Year: 2019, Pages: 139-142 |
| DOI: | 10.1145/3322905.3322930 |
| Accès en ligne: | Verlag, kostenfrei, Volltext: https://doi.org/10.1145/3322905.3322930 Verlag, kostenfrei, Volltext: https://dl.acm.org/doi/10.1145/3322905.3322930 
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| Notes sur l'auteur: | Jeremi K. Ochab, Holger Essler |
| Résumé: | In this paper we present the first results of stylometric analysis of literary papyri. Specifically we perform a range of tests for unsupervised clustering of authors. We scrutinise both the best classic distance-based methods as well as the state-of-the-art network community detection techniqes. We report on obstacles concerning highly non-uniform distributions of text size and authorial samples combined with sparse feature space. We also note how clustering performance depends on regularisation of spelling by means of querying relevant annotations. |
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| Description: | Gesehen am 20.08.2026 |
| Description matérielle: | Online Resource |
| ISBN: | 9781450371940 |
| DOI: | 10.1145/3322905.3322930 |