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  • Collection and processing of textual data in the context of social sentiment assessment: methodological aspects

    This article discusses the aspects of collecting and processing textual data from social media and mass media in the context of assessing the social sentiments of the population of certain macro-regions. Text data is an important source of reflecting the sentiments of society and can be collected, pre-processed and analyzed using modern technical tools, considering the specifics of the hypotheses under study and the tasks set. This context is an important part of the system of comprehensive security of macro-regions in their cultural, social, economic, political aspects. The discussed approaches include the collection of relevant data, their processing and analysis using data mining tools.

    Keywords: text analysis, media data, natural language processing, social sentiment assessment, data analysis