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Pregled bibliografske jedinice broj: 1088475

Sentiment Analysis of Tweets about COVID-19 Disease during Pandemic


Matošević, Goran; Bevanda, Vanja
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

Profili:

Avatar Url Vanja Bevanda (autor)

Avatar Url Goran Matošević (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Matošević, Goran; Bevanda, Vanja
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)
Matošević, G. & Bevanda, V. (2020) Sentiment Analysis of Tweets about COVID-19 Disease during Pandemic. U: Skala, K., Koricic, M. & et al. (ur.)2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) - Proceedings doi:10.23919/MIPRO48935.2020.9245176.
@article{article, author = {Mato\v{s}evi\'{c}, Goran and Bevanda, Vanja}, year = {2020}, pages = {1290-1295}, DOI = {10.23919/MIPRO48935.2020.9245176}, keywords = {sentiment analysis, twitter analysis, COVID-19, corona virus}, doi = {10.23919/MIPRO48935.2020.9245176}, title = {Sentiment Analysis of Tweets about COVID-19 Disease during Pandemic}, keyword = {sentiment analysis, twitter analysis, COVID-19, corona virus}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {Mato\v{s}evi\'{c}, Goran and Bevanda, Vanja}, year = {2020}, pages = {1290-1295}, DOI = {10.23919/MIPRO48935.2020.9245176}, keywords = {sentiment analysis, twitter analysis, COVID-19, corona virus}, doi = {10.23919/MIPRO48935.2020.9245176}, title = {Sentiment Analysis of Tweets about COVID-19 Disease during Pandemic}, keyword = {sentiment analysis, twitter analysis, COVID-19, corona virus}, publisher = {Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO}, publisherplace = {Opatija, Hrvatska} }

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