Development of Authorship Identification Methods Based on Textual Information

Student: Rumiantsev Daniil

Supervisor: Vladimir Mironkin

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Cyber Security (Specialist)

Final Grade: 9

Year of Graduation: 2020

This graduation thesis is aimed at development of authorship attribution methods applicable to problem of detecting probable author of text within limited number of candidates. The relevance of the research is relied on wide consumption of authorship attribution applications in linguistics, jurisprudence, forensics and cryptography. Current work describes mathematical models and results of practical testing for different approaches to classification of texts by their authors. The common method of detecting an author is introduced. This method operates the results of most accurate observed approaches to text classification. The mathematical software implementation is developed for suggested common method of authorship attribution.

Full text (added January 13, 2020)

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