Titlebook: Data Analytics and Management in Data Intensive Domains; 21st International C Alexander Elizarov,Boris Novikov,Sergey Stupnikov Conference

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https://doi.org/10.1057/9780230504721r many investigations of galactic and extragalactic objects. We have designed a method for determination of stellar parameters and interstellar extinctions from multicolor photometry. This method was applied to objects drawn from modern large photometric surveys. In this work, we give a review of th

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Private-Public: the Barriers to Citizenshiptive study of the GBN data and the data obtained using the Russian National Corpus and the General Internet Corpus of Russian is performed to show that the Google Books Ngram corpus can be successfully used for corpus-based studies. A new concept “diachronically balanced corpus” is introduced. Besid

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https://doi.org/10.1057/9780230369900s this problem. In this paper, we consider the task of automatic detection of depression signs from textual messages and profile information of Russian social network VKontakte users. We describe the preparation of users’ profiles dataset and propose linguistic and profile information based features

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Citizens‘ Initiatives in Europeeloped by us. The first source is TatThes, a bilingual Russian-Tatar Social-Political Thesaurus. TatThes, in turn, has been constructed by manual translation and extension of RuThes, a linguistic ontology for Russian. The second source is a Tatar translation of RuWordNet, a wordnet for Russian. This

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Methodology for Automated Identifying Food Export Potentialjust the food export structure to fit reality better. This problem implies long-term forecasting of the commodity combinations and export directions which could provide a persistent export gain in the future. Unfortunately, the existing solutions for food market forecasting tackle mainly with short-

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