This document discusses building a live Twitter sentiment analysis program that trains and tests classifiers, combines multiple classifiers with voting, analyzes sentiment of texts, gets tweet streams from Twitter, analyzes tweets for keywords, and plots sentiment graphs over time. The voted classifier achieved 69% accuracy on test data. High confidence tweets are written to a file and the program analyzes and prints each tweet with its classified sentiment and confidence level.