Pregled bibliografske jedinice broj: 1088475
Sentiment Analysis of Tweets about COVID-19 Disease during Pandemic
Sentiment Analysis of Tweets about COVID-19 Disease during Pandemic // 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) - Proceedings / Skala, Karolj ; Koricic, Marko ; et al. (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020. str. 1290-1295 doi:10.23919/MIPRO48935.2020.9245176 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1088475 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Sentiment Analysis of Tweets about COVID-19 Disease
during Pandemic
Autori
Matošević, Goran ; Bevanda, Vanja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) - Proceedings
/ Skala, Karolj ; Koricic, Marko ; et al. - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2020, 1290-1295
Skup
43nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
sentiment analysis ; twitter analysis ; COVID-19 ; corona virus
Sažetak
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”.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Sveučilište Jurja Dobrile u Puli