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

Understand

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.