Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. (arXiv:2207.10641v1 [cs.CL])

Over 12 billion doses of COVID-19 vaccines have been administered at the time
of writing. However, public perceptions of vaccines have been complex. We
analyzed COVID-19 vaccine-related tweets to understand the evolving perceptions
of COVID-19 vaccines. We finetuned a deep learning classifier using a
state-of-the-art model, XLNet, to detect each tweet's sentiment automatically.
We employed validated methods to extract the users' race or ethnicity, gender,
age, and geographical locations from user profiles. Incorporating multiple data
sources, we assessed the sentiment …

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