In this project, I used Python to explore the reactions to the COVID-19 pandemic on Twitter Between July 24th, 2020 and August 30th, 2020 by performing an sentiment analysis on COVID-19 related tweets. Steps included preprocessing and tokenizing text data, labeling them with positive, negative, and neutral sentiments, and visualizing the results of the analysis. See the time series of sentiments below:
See ful project here