Date of Award
2022
First Advisor
Amanda Landi
Second Advisor
Michael Bergman
Third Advisor
Miha Habič
Abstract
In this thesis, we use sentiment analysis of public Twitter posts to gain insights into the effectiveness of protection measures on Covid. It could be used as evidence to encourage citizens to receive vaccination. In particular, we fetched millions of tweets to see if a state’s public sentiment on major Covid protection measures is correlated with its Covid cases. Major Covid protection measures considered include vaccine, mask, distance, WFH, and sanitizer. In addition, we built a complete data pipeline for analytics with Kafka, Google Cloud, and BERT, which is another focus of the thesis. 1
Recommended Citation
Ma, Yecheng, "Sentiment Analysis of the effect of Covid protection measures through Tweets" (2022). Senior Theses. 1618.
https://digitalcommons.bard.edu/sr-theses/1618
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