Corpus ID: 221340971

Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic

  title={Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic},
  author={Anna Kruspe and M. H{\"a}berle and Iona Kuhn and X. Zhu},
  • Anna Kruspe, M. Häberle, +1 author X. Zhu
  • Published 2020
  • Computer Science, Mathematics
  • ArXiv
  • Social media data can be a very salient source of information during crises. User-generated messages provide a window into people’s minds during such times, allowing us insights about their moods and opinions. Due to the vast amounts of such messages, a large-scale analysis of population-wide developments becomes possible. In this paper, we analyze Twitter messages (tweets) collected during the first months of the COVID-19 pandemic in Europe with regard to their sentiment. This is implemented… CONTINUE READING

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