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

Autori
Babić, Karlo ; Petrović, Milan ; Beliga, Slobodan ; Martinčić-Ipšić, Sanda ; Jarynowski, Andrzej ; Meštrović, Ana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of Sixth International Congress on Information and Communication Technology / Yang, Xin-She ; Sherratt, Simon ; Dey, Nilanjan ; Joshi, Amit - London : Delhi : Springer, 2021, 379-390

ISBN
978-981-16-1781-2

Skup
6th International Conference on Inventive Computation Technologies (ICICT 2021)

Mjesto i datum
London, Ujedinjeno Kraljevstvo, 20.01.2021. - 21.01.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
COVID-19 ; Twitter ; social media ; sentiment analysis ; NLP

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA