COVID-19-Related Communication on Twitter: Analysis of the Croatian and Polish Attitudes-Reference-Cited by-同舟云学术

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

Published:2021-09-10 Issue: Volume: Page:379-390
ISSN:2367-3370
Container-title:Proceedings of Sixth International Congress on Information and Communication Technology
language:
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Author:

Babić Karlo^ORCID,Petrović Milan^ORCID,Beliga Slobodan^ORCID,Martinčić-Ipšić Sanda^ORCID,Jarynowski Andrzej^ORCID,Meštrović Ana^ORCID

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1781-2_35

Reference19 articles.

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2. Chandrasekaran R, Mehta V, Valkunde T, Moustakas E (2020) Topics, trends, and sentiments of tweets about the covid-19 pandemic: temporal infoveillance study. J Med Internet Res 22(10):e22–624. https://doi.org/10.2196/22624

3. Chen Y. Skiena S (2014) Building sentiment lexicons for all major languages. In: Proceedings of the 52nd annual meeting of the association for computational linguistics (volume 2: short papers), pp 383–389. https://doi.org/10.3115/v1/P14-2063

4. Jakopović H, Mikelić Preradović N (2016) Identifikacija online imidža organizacija temeljem analize sentimenata korisnički generiranog sadržaja na hrvatskim portalima. Medijska istraživanja: znanstveno-stručni časopis za novinarstvo i medije 22(2):63–82. https://doi.org/10.22572/mi.22.2.4

5. Jarynowski A (2020) A dataset of media releases (Twitter, News and Comments, Youtube, Facebook) form Poland related to COVID-19 for open research. Zenodo. https://doi.org/10.5281/zenodo.4319813

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