Using K-Means Clustering Method with Doc2Vec to Understand the Twitter Users’ Opinions on COVID-19 Vaccination
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9508505/9508478/09508578.pdf?arnumber=9508578
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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3. Exploring COVID-19 Vaccine Hesitancy Through Topic Modeling: A Systematic Literature Review;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08
4. Coupling Machine Learning Models with Innovative Technology-based Screening Tool for Identifying Psychological Distress among Aboriginal Perinatal Mothers;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24
5. 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-19 Vaccination Tweets;International Journal of Environmental Research and Public Health;2023-05-12
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