In this fun project, I wanted to explore a kaggle dataset of airline reviews and create a machine learning (ML) model that could automatically categorize tweets into groups of sentiments using natural language processing (NLP). With this information, I wanted to then try and narrow down what is causing different reviews. This would allow me to determine what airlines are doing good, what they're doing poorly, and how they can improve their customer experience.

See below for a concise slides presentation of my process and findings. For a more comprehensive walk-through, check out my jupyter notebook on github and kaggle!