This project used a TFIDF analysis alongside a Random Forest Classifier to analyze the text content of memes.
These memes were categorized based on which candidate they were associated with (Clinton, Trump, or Sanders).
Using the TFIDF, I was able to find the words most highly associated with each candidate and generated conclusions from there.
To view the analysis, start with the Introduction and work your way through the rest of the file.
Enjoy!