This project obtains a real world data set through scraping tens of thousands of Yelp reviews of Starbucks stores across the United States of America and attempts to derive insights and reveal correlations, if any, between customer satisfaction with the coffee chain and its recent financial performance by analyzing overall trends in customer satisfaction and using natural language processing to uncover finer details as to what is influencing sentiment.
The project can be viewed on my github here: https://www.twine.net/signin
- Data Visualizer
- Database Developer