This project considers the task of modeling the individual character of users on Twitter. Sentiment analysis with Naïve Bayes and user cross entropy is calculated in various configurations to model user character and determine if particular tweets are in or out of character for a given user.
Download final research paper: martin-john-modeling-character-in-tweets-2017.pdf