Abstract
This study focuses on analyzing people's tweets in the state of Kansas during the Covid-19 pandemic. Data was collected using the Twitter API from January to September of 2020. We developed a custom back-end algorithm to collect and accumulate daily tweets over time. We then cleaned the tweets and performed sentiment analysis to identify positive, negative, and neutral tweets. Finally, we developed a front-end algorithm to generate a custom dashboard containing several interactive visualizations and made the dashboard available online. The study describes the background, methodology and results.
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