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Automatic Detection of Culturomic Trends

Student: Yana Labenskaya

Supervisor: Boris Orekhov

Faculty: Faculty of Humanities

Educational Programme: Digital Humanities (Master)

Year of Graduation: 2024

Culturomics, a new and promising method of research, relies heavily on big data, but some of it might be too big to even work with. This work aims to provide a new algorithm for automatic anomaly extraction for the Google Ngram database, which in turn will give researchers from different branches of science access to neatly packaged data about only the most peculiar behavior of words and concepts in the 20th century.

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