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Understanding the perception of COVID-19 policies by mining a multilanguage Twitter dataset
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Cited by

  • 2020Research lines on the impact of the COVID-19 pandemic on business. A text mining analysis190 cited
  • 2020ArCOV-19: The First Arabic COVID-19 Twitter Dataset with Propagation Networks68 cited
  • 2020Large Arabic Twitter Dataset on COVID-1967 cited
  • 2020Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs56 cited
  • 2020Weibo-COV: A Large-Scale COVID-19 Social Media Dataset from Weibo55 cited
  • 2020Causal Modeling of Twitter Activity during COVID-1954 cited
  • 2021Covid-19 et communication de crise. Focus linguistique sur les tweets francophones de Belgique47 cited
  • 2021Health communication and trust in institutions during the COVID-19 lockdown in China's urban communities30 cited
  • 2020NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset21 cited
  • 2022Revealing the linguistic and geographical disparities of public awareness to Covid-19 outbreak through social media20 cited
  • 2020Twitter in Brazil: Discourses on China in Times of Coronavirus19 cited
  • 2020Track Iran's national COVID-19 response committee’s major concerns using two-stage unsupervised topic modeling13 cited
  • 2022Linguistic repercussions of COVID-19: A corpus study on four languages5 cited

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