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Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content During the Spread of the Coronavirus Pandemic

Subjects: COVID-19; Social Media; Sentiment Analysis

  • Source: Advances in Computational Collective Intelligence. 15th International Conference, ICCCI 2023, Budapest, Hungary, September 27–29, 2023, Proceedings ; https://hal.science/hal-04224265 ; Ngoc Thanh

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Book

Corona protests in Germany: insights into a new movement

Subjects: Politikwissenschaft; Political science; COVID-19

  • Source: Diálogos Institucionais e Políticas de Enfrentamento da Crise ; 25-40

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Book

Rethinking the Infodemic: Social Media and Offline Action in the COVID-19 Pandemic

Subjects: Infodemic; COVID-19; Social media

  • Source: Socio-Life Science and the COVID-19 Outbreak. Public Health and Public Policy ; https://hal.science/hal-03671491 ; Makoto Yano; Fumihiko Matsuda; Anavaj Sakuntabhai;

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Illuminating craft brewers’ experiences of dealing with Covid-19 and making fresh sense of what Covid-19 can do to/for craft beer:an intègraphic approach

Subjects: Craft beer; COVID-19; Situational analysis

  • Source: Clarke , D , Bowden , J & Dinnie , K 2022 , Illuminating craft brewers’ experiences of dealing with Covid-19 and making fresh sense of what

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