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Название: Decomposition of Google trends series for the search of patterns and seasonality of financial risk control interest
Авторы: Vnukova N. M.
Achkasova S. A.
Gorokhovatskyi O. V.
Pysarevska H. I.
Ключевые слова: risk control
forensic
financial investigations
search engine
search query
Google Trends
analytics
time series
correlation
seasonality
Дата публикации: 2021
Библиографическое описание: Vnukova N. Decomposition of Google trends series for the search of patterns and seasonality of financial risk control interest / N. Vnukova, S. Achkasova, O. Gorokhovatskyi et al // 5th International Conference on Computational Linguistics and Intelligent Systems, April 22–23, 2021. ‒ Kharkiv, 2021. ‒ С. 613 – 628.
Краткий осмотр (реферат): In this paper, it is proposed to use the Google Trends service for the identification of interest in risk control trends through queries in different languages of users in the world and Ukraine for such risk control terms: "risk control", "forensic", "financial investigations" in different languages. The time series formation model was described and analyzed, taking into account the high asymmetry and seasonality of the development of forensic in the regions of Ukraine and the world. Google Trends have sufficient opportunities to determine users' level of interest in major trends in the financial investigations, which allows forming a statistical base for decision making for modeling and further development of this direction. The experimental modeling showed the seasonality for "forensic" and "risk control" popularity trends as well as the determination of the eastern and western in Ukraine in the relation of "forensic".
URI (Унифицированный идентификатор ресурса): http://repository.hneu.edu.ua/handle/123456789/25487
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