Published on in Vol 23, No 10 (2021): October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/30765, first published
.
Journals
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- Amujo O, Ibeke E, Fuzi R, Ogara U, Iwendi C. Sentiment Computation of UK-Originated COVID-19 Vaccine Tweets: A Chronological Analysis and News Effect. Sustainability 2023;15(4):3212 View
- Gatto J, Seegmiller P, Johnston G, Preum S. Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution. JMIR Medical Informatics 2022;10(9):e37770 View
- Zeng Z, Sun S, Li Q. Multimodal negative sentiment recognition of online public opinion on public health emergencies based on graph convolutional networks and ensemble learning. Information Processing & Management 2023;60(4):103378 View
- Dupuy-Zini A, Audeh B, Gérardin C, Duclos C, Gagneux-Brunon A, Bousquet C. Users’ Reactions to Announced Vaccines Against COVID-19 Before Marketing in France: Analysis of Twitter Posts. Journal of Medical Internet Research 2023;25:e37237 View
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- Tasențe T, Carataș M, Alabdullah T. Analysis of sentiment in the European Central Bank’s social media activity during the Covid-19 pandemic and Ukraine War: A navigating crisis communication. Doxa Comunicación. Revista Interdisciplinar de Estudios de Comunicación y Ciencias Sociales 2024 View
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