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Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

First, we generalized the variations of COVID-related terms to “COVID-19,” including “corona,” “covid,” “covid19,” and “coronavirus”; second, we removed unrelated website links from the search results, including links starting with the fragment of “https”; third, we removed punctuation (eg, period, question mark, comma, colon, and ellipsis) and other key symbols (eg, bracket, single and double quotes) and converted capital letters into lower-case letters; fourth, we removed inflectional endings (eg, “ly”) and

Tao Hu, Siqin Wang, Wei Luo, Mengxi Zhang, Xiao Huang, Yingwei Yan, Regina Liu, Kelly Ly, Viraj Kacker, Bing She, Zhenlong Li

J Med Internet Res 2021;23(9):e30854

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