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Tweet Classification for Political Sentiment Analysis

Tweet Classification for Political Sentiment Analysis. Micol Marchetti-Bowick. Problem Overview. Tweet Sentiment. Sentiment Classifier. a utomatically labeled tweet sentiment using emoticons t rained a Naïve Bayes classifier on 2M tweets u sed both unigram and bigram features

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Tweet Classification for Political Sentiment Analysis

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  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)

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