An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach.

ABSTRACT:

Background

As the COVID-19 pandemic progressed, disinformation, fake news, and conspiracy theories spread through many parts of society. However, the disinformation spreading through social media is, according to the literature, one of the causes of increased COVID-19 vaccine hesitancy. In this context, the analysis of social media posts is particularly important, but the large amount of data exchanged on social media platforms requires specific methods. This is why machine learning and natural language processing models are increasingly applied to social media data.

Objective

The aim of this study is to examine the capability of the CamemBERT French-language model to faithfully predict the elaborated categories, with the knowledge that tweets about vaccination are often amb

SUBMITTER: Sauvayre R 

PROVIDER: S-EPMC9116457 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature