Document Type
Poster
Publication Date
Fall 2020
Abstract
As of today, there are two COVID-19 vaccines being distributed to healthcare workers across the country. Some are thrilled at this news, hopeful that vaccines will put an end to the quarantines and social distancing. Others are more skeptical, worried at the prospect of mandatory injections. According to the experts, for the US to reach herd immunity, 60-70% of the population would need to be immune to the disease. As such, if not enough people are on board, then vulnerable populations will still be at risk. In light of this dilemma, I decided to focus my final project on vaccination. Specifically, I collected recent vaccine-related tweets and explored them using natural language processing techniques.
Recommended Citation
Brydon, Michaela, "Analyzing Twitter Conversations About Vaccines" (2020). IPHS 200: Programming Humanity. Paper 23.
https://digital.kenyon.edu/dh_iphs_prog/23
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.