Applying Machine Learning to Identify Anti-Vaccination Tweets during the COVID-19 Pandemic
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- Stephanie J. Alley & Robert Stanton & Matthew Browne & Quyen G. To & Saman Khalesi & Susan L. Williams & Tanya L. Thwaite & Andrew S. Fenning & Corneel Vandelanotte, 2021. "As the Pandemic Progresses, How Does Willingness to Vaccinate against COVID-19 Evolve?," IJERPH, MDPI, vol. 18(2), pages 1-14, January.
- Hartmann, Jochen & Huppertz, Juliana & Schamp, Christina & Heitmann, Mark, 2019. "Comparing automated text classification methods," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 20-38.
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- Wajdi Aljedaani & Eysha Saad & Furqan Rustam & Isabel de la Torre Díez & Imran Ashraf, 2022. "Role of Artificial Intelligence for Analysis of COVID-19 Vaccination-Related Tweets: Opportunities, Challenges, and Future Trends," Mathematics, MDPI, vol. 10(17), pages 1-33, September.
- Thanh Bui & Andrea Hannah & Sanjay Madria & Rosemary Nabaweesi & Eugene Levin & Michael Wilson & Long Nguyen, 2023. "Emotional Health and Climate-Change-Related Stressor Extraction from Social Media: A Case Study Using Hurricane Harvey," Mathematics, MDPI, vol. 11(24), pages 1-16, December.
- Miftahul Qorib & Timothy Oladunni & Max Denis & Esther Ososanya & Paul Cotae, 2023. "COVID-19 Vaccine Hesitancy: A Global Public Health and Risk Modelling Framework Using an Environmental Deep Neural Network, Sentiment Classification with Text Mining and Emotional Reactions from COVID," IJERPH, MDPI, vol. 20(10), pages 1-25, May.
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Keywords
deep learning; neural network; LSTM; BERT; transformer; stance analysis; vaccine;All these keywords.
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