100 likes | 377 Views
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
E N D
Tweet Classification for Political Sentiment Analysis Micol Marchetti-Bowick
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 • 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 correlation coefficient = 0.188 (approval), 0.399 (disapproval)
General Political Sentiment Analysis correlation coefficient = 0.743 (approval), 0.737 (disapproval)