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COVID-19-Related Communication on Twitter: Analysis of the Croatian and Polish Attitudes

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 216)


In this paper, we analyze and compare Croatian and Polish Twitter datasets. After collecting tweets related to COVID-19 in the period from 20.01.2020 until 01.07.2020, we automatically annotated positive, negative, and neutral tweets with a simple method, and then used a classifier to annotate the dataset again. To interpret the data, the total number as well as the number of positive and negative tweets are plotted through time for Croatian and Polish tweets. The positive/negative fluctuations in the visualizations are explained in the context of certain events, such as the lockdowns, Easter, and parliamentary elections. In the last step, we analyze tokens by extracting the most frequently occurring tokens in positive or negative tweets and calculating the positive to negative (and reverse) ratios.


  • COVID-19
  • Twitter
  • Social media
  • Sentiment analysis
  • NLP

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  • DOI: 10.1007/978-981-16-1781-2_35
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This work has been supported in part by the COST Action CA15109 COSTNET and by the Croatian Science Foundation under the project IP-CORONA-04-2061, “Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis” (InfoCoV).

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Correspondence to Andrzej Jarynowski or Ana Meštrović .

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Babić, K., Petrović, M., Beliga, S., Martinčić-Ipšić, S., Jarynowski, A., Meštrović, A. (2022). COVID-19-Related Communication on Twitter: Analysis of the Croatian and Polish Attitudes. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore.

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