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Showing 1 to 1 of 1 for “"textual disguise and deception"”.

  1. Self-attentive generative adversarial network-based authorship attribution in historical texts

    … text. Given the large number of disputed texts and widespread use of pen names in humanities, especially in historical and literary texts, this study aims to follow a deep-learning-based approach to perform authorship attribution in historical texts. This thesis introduces a novel approach to …

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