Sentiment analysis of tweets about COVID-19 disease during pandemic
Goran Matošević, Vanja Bevanda · 2020
In this paper authors are presenting results of sentiment analysis of tweets - textual posts generated by users of Twitter in April 2020 in 6 selected countries: USA, UK, Spain, Italy, Sweden and Germany. There are two datasets formed in this research: first containing tweets about COVID-19 in selected countries, and second, containing tweets from top 10 politicians, users of Twitter in selected countries. Results show that most tweets from both data sources share similar positive sentiments, with minor differences between countries. Top emotions include “trust”, “fear” and “anticipation”.