Tweet Classification for Political Sentiment Analysis

Micol Marchetti-Bowick

Problem Overview

Tweet Sentiment

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

Tweet Political Relevance

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

Obama Sentiment Analysiscorrelation coefficient = 0.188 (approval), 0.399 (disapproval)

General Political Sentiment Analysiscorrelation coefficient = 0.743 (approval), 0.737 (disapproval)