Corpus ID: 17039574

The Predictive Power of Social Media: On the Predictability of U.S. Presidential Elections using Twitter

@article{Jahanbakhsh2014ThePP,
  title={The Predictive Power of Social Media: On the Predictability of U.S. Presidential Elections using Twitter},
  author={Kazem Jahanbakhsh and Yumi Moon},
  journal={ArXiv},
  year={2014},
  volume={abs/1407.0622}
}
  • Kazem Jahanbakhsh, Yumi Moon
  • Published 2014
  • Computer Science, Physics
  • ArXiv
  • Twitter as a new form of social media potentially contains useful information that opens new opportunities for content analysis on tweets. This paper examines the predictive power of Twitter regarding the US presidential election of 2012. For this study, we analyzed 32 million tweets regarding the US presidential election by employing a combination of machine learning techniques. We devised an advanced classifier for sentiment analysis in order to increase the accuracy of Twitter content… CONTINUE READING
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