Sifting French Tweets to Investigate the Impact of Covid-19 in Triggering Intense Anxiety

Mohamed Amine Romdhane, Elena Cabrio, Serena Villata


Abstract
Sifting French Tweets to Investigate the Impact of Covid-19 in Triggering Intense Anxiety. Social media can be leveraged to understand public sentiment and feelings in real-time, and target public health messages based on user interests and emotions. In this paper, we investigate the impact of the COVID-19 pandemic in triggering intense anxiety, relying on messages exchanged on Twitter. More specifically, we provide : i) a quantitative and qualitative analysis of a corpus of tweets in French related to coronavirus, and ii) a pipeline approach (a filtering mechanism followed by Neural Network methods) to satisfactory classify messages expressing intense anxiety on social media, considering the role played by emotions.
Anthology ID:
2021.jeptalnrecital-taln.21
Volume:
Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale
Month:
6
Year:
2021
Address:
Lille, France
Venue:
JEP/TALN/RECITAL
SIG:
Publisher:
ATALA
Note:
Pages:
219–226
Language:
URL:
https://aclanthology.org/2021.jeptalnrecital-taln.21
DOI:
Bibkey:
Cite (ACL):
Mohamed Amine Romdhane, Elena Cabrio, and Serena Villata. 2021. Sifting French Tweets to Investigate the Impact of Covid-19 in Triggering Intense Anxiety. In Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, pages 219–226, Lille, France. ATALA.
Cite (Informal):
Sifting French Tweets to Investigate the Impact of Covid-19 in Triggering Intense Anxiety (Amine Romdhane et al., JEP/TALN/RECITAL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.jeptalnrecital-taln.21.pdf