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Tweet Classification for Political Sentiment Analysis - PowerPoint PPT Presentation


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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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sentiment classifier
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
political classifier
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 analysis
Obama Sentiment Analysis

correlation coefficient = 0.188 (approval), 0.399 (disapproval)

general political sentiment analysis
General Political Sentiment Analysis

correlation coefficient = 0.743 (approval), 0.737 (disapproval)