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Tweet Classification for Political Sentiment Analysis Micol Marchetti-Bowick.

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Presentation on theme: "Tweet Classification for Political Sentiment Analysis Micol Marchetti-Bowick."— Presentation transcript:

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 = (approval), (disapproval)

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


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