Covid-19 Sentiment Analysis

This project focused on cleaning, pre-processing, and exploratory analysis of raw Twitter data on COVID-19. The data was stored in a csv file and read into a MySQL database, where it was analyzed. Created a Streamlit web app that displays various data visualizations. Fixing issues, writing unittests, and integrating Travis CI to run tests automatically whenever a commit to the Github repository is made.