1. Tweet Classification for Political Sentiment Analysis Micol Marchetti-Bowick

2. Problem Overview

3. Tweet Sentiment

4. Sentiment Classifier automatically labeled tweet sentiment using emoticons trained a Naïve Bayes classifier on 2M tweets used both unigram and bigram features 79% test accuracy on 0.5M labeled tweets

5. Tweet Political Relevance

6. Political Classifier automatically labeled tweet political relevance using key terms trained a Naïve Bayes classifier on 2M tweets used both unigram and bigram features 96% test accuracy on 0.5M labeled tweets

7. Obama Sentiment Analysis correlation coefficient = 0.188 (approval), 0.399 (disapproval)

8. General Political Sentiment Analysis correlation coefficient = 0.743 (approval), 0.737 (disapproval)