This project utilizes Twitter API for harvesting tweets concerning Ebola virus and performes sentiment analysis to analyze the level of concern depicted by a Twitter user. We then implement Logistic Regression and Naïve Bayes algorithm to predict political affiliation of Twitter users and compare the performance of the two algorithms.