Mapping Emotional Landscapes of Fiction Using Machine Learning Techniques

Nicholas Levitt - College of Charleston Bachelors of Science in Data Science Capstone

May 2016

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.

Link To Final Report

Link To Final Poster