Methodology: • Use NLTK stop words and Post of Speech to deduct meaningless words in every tweet. • Utilized the regular expression to delete emotional figure in each tweet. • Use discourse connectors list to remove redundant tokens. • Implement the Voting Mechanism to build the sentiment prediction model with three classifiers: Multinominal Naive Bayes(MNB), Stochastic Gradient Descent(SGD), and Bernoulli Naive Bayes(BNB). Link: https://drive.google.com/open?id=1dmQ8YZHnf98cpMEiV9ogW2xDAa7J0FkY