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Article dans une revue Lecture Notes in Networks and Systems Année : 2023

Using Topic Modeling and NLP Tools for Analyzing Long Covid Coverage by French Press and Twitter

Résumé

During the current COVID-19 pandemic, a specific form of the disease called "Long Covid" was the subject of debates and contradictory - even conflicting - positions of the stakeholders, until its institutional and public recognition in 2022. The objectives of this study are : (1) analyzing the modalities of construction and progressive visibility of the category "Long Covid" in the media public sphere and in Twitter;(2) To propose a methodology based on topic modeling and NLP tools to conduct a comparative analysis between newspapers and Twitter coverage.
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Dates et versions

halshs-04215016, version 1 (22-09-2023)

Licence

Paternité - Pas d'utilisation commerciale - Partage selon les Conditions Initiales - CC BY 4.0

Identifiants

  • HAL Id : halshs-04215016 , version 1

Citer

Brigitte Juanals, Jean-Luc Minel. Using Topic Modeling and NLP Tools for Analyzing Long Covid Coverage by French Press and Twitter. Lecture Notes in Networks and Systems, 2023, Intelligent Sustainable Systems, Springer, 817 (2), pp.165-175. ⟨halshs-04215016⟩
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