Methods of author identification
Тип публікації :
Магістерська робота
Дата випуску :
2020
Автор(и) :
Mykhailiuk Vladyslav
Мова основного тексту :
Англійська
eKNUTSHIR URL :
Цитування :
[APA 7] Mykhailiuk, V. (2020). Methods of author identification. [Master's thesis, Київський національний університет імені Тараса Шевченка]. eKNUTSHIR. https://ir.library.knu.ua/handle/123456789/2998
[ДСТУ] Mykhailiuk V. Methods of author identification : кваліфікаційна робота магістра : 11 Математика та статистика. Kyiv, 2020. 25 p. URL: https://ir.library.knu.ua/handle/123456789/2998 (date of access: 17.07.2026).
As a result of the research, 2 methods of identification of an unknown author of a work belonging to the library of known authors were implemented, the method of text clustering was also implemented and testing of methods with and without clustering was performed. A criterion method was also proposed to select the 𝑛-grams that would best serve as a marker to identify the author.
800 texts by 16 authors were used for testing. As a result, it was found that the method that uses the density of the distribution function is suitable for identifying the authors of works of both large texts (50,000+ characters) and small (10,000+ characters). And the method that uses p-statistics is only suitable for use on large works. With clustering of texts, much better results were obtained in a test sample for both methods.
800 texts by 16 authors were used for testing. As a result, it was found that the method that uses the density of the distribution function is suitable for identifying the authors of works of both large texts (50,000+ characters) and small (10,000+ characters). And the method that uses p-statistics is only suitable for use on large works. With clustering of texts, much better results were obtained in a test sample for both methods.
Галузі знань та спеціальності :
11 Математика та статистика
113 Прикладна математика
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Adobe PDF
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