This project uses DSX, Apache Spark, the Twitter API and the Personality Insights Watson API to:
1- Understand the personality profile of the average twitter follower of an account
2- Segment those followers through kmeans clustering analysis into the most relevant segments based on the "Needs" features of the profile. This insight will be useful to marketing teams to optimize targeting and messaging to better meet those needs.
Twitter Accounts Analyzed: