A look at "cancelled culture" using Twint (Tweet Scraper) and Python's Data Science tools.
Try running the "Sentiment Graph" notebook to generate timelines of how average Twitter sentiment of a person/organization/phrase changes over the course of a timeframe.
Try running the "Tweet Generator" notebooks to generate tweets using either the "isoverparty" language or the language used by any Twitter user of your choice using the Markov Model.