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Demagoguery and its automatic recognition in texts

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dc.contributor.author MOROZOVA, Evghenia
dc.contributor.author BOBICEV, Victoria
dc.date.accessioned 2024-12-08T09:57:37Z
dc.date.available 2024-12-08T09:57:37Z
dc.date.issued 2024
dc.identifier.citation MOROZOVA, Evghenia and Victoria BOBICEV. Demagoguery and its automatic recognition in texts. In: Electronics, Communications and Computing (IC ECCO-2024): The conference program and abstract book: 13th intern. conf., Chişinău, 17-18 Oct. 2024. Technical University of Moldova. Chişinău: Tehnica-UTM, 2024, pp. 163-164. ISBN 978-9975-64-480-8 (PDF). en_US
dc.identifier.isbn 978-9975-64-480-8
dc.identifier.uri http://repository.utm.md/handle/5014/28797
dc.description Only Abstract en_US
dc.description.abstract The work is devoted to automatic text analysis in order to detect the demagoguery. The demagoguery is used to play with the hopes and fears, and especially the hatred, of the people, betraying their true interests for the sake of one’s own political popularity and power. Automatic detection of demagoguery in texts will help people to stay aware of their real goals and avoid such publications. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.relation.ispartofseries Electronics, Communications and Computing (IC ECCO-2024): 13th intern. conf., 17-18 Oct. 2024;
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject natural language processing en_US
dc.subject demagoguery en_US
dc.subject corpus creation en_US
dc.subject text analysis en_US
dc.subject machine learning methods en_US
dc.title Demagoguery and its automatic recognition in texts en_US
dc.type Article en_US


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  • 2024
    The 13th International Conference on Electronics, Communications and Computing (IC ECCO-2024)

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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