In this thesis, I used 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, I 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, I built a complete data pipeline for analytics with Kafka, Google Cloud, and BERT, which is another focus of the thesis.