Technologies for the citizens social well-being study based on web-content analysis

Автор: Ovchar Nadezhda, Vorobyov Andrey, Parygin Danila, Sadovnikova Natalia

Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse

Статья в выпуске: 1, 2019 года.

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The problem of using modern methods of analyzing web content for the study of social well-being are discussed in the paper. An analysis of the concept of «social well-being» has been carried out and approaches to its study have been considered. Sources of data and technologies for their collection are structured. Possible indicators of social well-being, the values of which can be obtained as a result of analysis of social networks, search engine queries, specialized sites, etc., have been identified. The main problems associated with obtaining information are identified and the main elements of the proposed methodology are determined.

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Big data, api, social well-being, indicators of social well-being, citizens, social network, search system, text tonality

Короткий адрес: https://sciup.org/14123295

IDR: 14123295

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