This project uses Twitter API v2 with Tweepy to request tweet data based on a keyword, the data is then put through an ETL process, and into Pandas data frame, and then run through a pre-trained sentiment analysis model. The sentiment result is then added to the tweets and the resulting table is used for analysis.
