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Published byKaleb Roads Modified over 3 years ago
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Tweet Classification for Political Sentiment Analysis Micol Marchetti-Bowick
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Problem Overview
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Tweet Sentiment
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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
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Tweet Political Relevance
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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
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Obama Sentiment Analysis correlation coefficient = 0.188 (approval), 0.399 (disapproval)
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General Political Sentiment Analysis correlation coefficient = 0.743 (approval), 0.737 (disapproval)
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