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Categorizing Vaccine Confidence With a Transformer-Based Machine Learning Model: Analysis of Nuances of Vaccine Sentiment in Twitter Discourse

Categorizing Vaccine Confidence With a Transformer-Based Machine Learning Model: Analysis of Nuances of Vaccine Sentiment in Twitter Discourse

We have further addressed discourse distribution, labeling, and word balance in the word corpus in the study by Martin et al [10]. In addition, we acquired a data set with a total of 201,133 vaccine-related news articles from the Vaccine Confidence Project (London School of Hygiene & Tropical Medicine) media archive. The articles were collected by automated keyword searches from several sources, including Google News, Health Map, and Meltwater.

Per E Egil Kummervold, Sam Martin, Sara Dada, Eliz Kilich, Chermain Denny, Pauline Paterson, Heidi J Larson

JMIR Med Inform 2021;9(10):e29584