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Authors: Alina Trifan 1 ; Sérgio Matos 1 ; Pedro Morgado 2 and José Luís Oliveira 1

Affiliations: 1 DETI/IEETA, University of Aveiro, Portugal ; 2 School of Medicine, University of Minho, Portugal

Keyword(s): Sentiment Analysis, Social Media, COVID-19.

Abstract: This paper presents preliminary work on the topic of emotion analysis on Twitter, in the context of the coronavirus pandemic in Portugal. We collected, curated and analyzed covid-related tweets of users in Portugal in order to understand the evolution of the six basic emotions reflected in these tweets. We analyzed tweets written in both English and Portuguese. In this first step of our work we correlate this information with key events of the evolution of the pandemic in Portugal during March, which was the most critical period in Portugal. We do so in an attempt to estimate the online manifestation of the psychological toll that this pandemic has on the overall well-being status of the general population. Our findings show that the sentiment analysis of covid-related tweets is consistent with our hypothesis that negative emotions would intensify as the pandemic progressed. The preliminary results obtained stand as proof of concept that the analysis of real-time tweets or other soci al media messages through sentiment analysis can be an important tool for behavioural and well-being tracking. (More)

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Paper citation in several formats:
Trifan, A.; Matos, S.; Morgado, P. and Oliveira, J. (2021). Bilingual Emotion Analysis on Social Media throughout the COVID19 Pandemic in Portugal. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF; ISBN 978-989-758-490-9; ISSN 2184-4305, SciTePress, pages 430-434. DOI: 10.5220/0010244204300434

@conference{healthinf21,
author={Alina Trifan. and Sérgio Matos. and Pedro Morgado. and José Luís Oliveira.},
title={Bilingual Emotion Analysis on Social Media throughout the COVID19 Pandemic in Portugal},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF},
year={2021},
pages={430-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010244204300434},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - HEALTHINF
TI - Bilingual Emotion Analysis on Social Media throughout the COVID19 Pandemic in Portugal
SN - 978-989-758-490-9
IS - 2184-4305
AU - Trifan, A.
AU - Matos, S.
AU - Morgado, P.
AU - Oliveira, J.
PY - 2021
SP - 430
EP - 434
DO - 10.5220/0010244204300434
PB - SciTePress

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