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Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0252332
Abstract: In this study, we use an effective word embedding model (word2vec) to systematically track ’vaccine hesitancy’ and ’logistical challenges’ associated with the Covid-19 vaccines, in the USA. To that effect, we use news articles from…
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Keywords:
logistical challenges;
machine learning;
hesitancy;
vaccine hesitancy ... See more keywords