Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study
BackgroundTwitter presents a valuable and relevant social media platform to study the prevalence of information and sentiment on vaping that may be useful for public health surveillance. Machine learning classifiers that identify vaping-relevant tweets and characterize sentiments in them can underpi...
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| Principais autores: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
JMIR Publications
2020-08-01
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| coleção: | Journal of Medical Internet Research |
| Acesso em linha: | https://www.jmir.org/2020/8/e17478 |
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