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Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods

Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods

Bacon [33] created a codebook to determine the sentiment of comments as positive, neutral, or negative based on the commenter’s attitude toward the video or another comment. The comments were sorted by time of post and video, then coded in the context of the broader discussion. Video transcripts also informed the coding.

Lisa M Gandy, Lana V Ivanitskaya, Leeza L Bacon, Rodina Bizri-Baryak

JMIR Form Res 2025;9:e57395