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 sentim...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-08-01
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Series: | Journal of Medical Internet Research |
Online Access: | https://www.jmir.org/2020/8/e17478 |