This project set out to try and build a predictive model for sentiment analysis for application on fictional literature.
Using a collection of different machine learning algorithms trained on a pre-labeled dataset, the emotional landscapes of different works of fiction were generated in a graphical format.
Links to the final report, as well as the accompanying poster, can be found below.