Abstract
Almost 2,5 million tweets were analysed to explore the variation of sentiment over space and time in relation to COVID-19 measures, infection rates and socio-geographical factors in the Netherlands. The sentiment analysis of geotagged and timestamped tweets shows that the mood of people was more negative during the first waves
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