A proposed method for predicting US presidential election by analyzing sentiment in social media

@article{Wicaksono2016APM,
  title={A proposed method for predicting US presidential election by analyzing sentiment in social media},
  author={Andy Januar Wicaksono and Suyoto and Pranowo},
  journal={2016 2nd International Conference on Science in Information Technology (ICSITech)},
  year={2016},
  pages={276-280}
}
  • A. WicaksonoSuyotoPranowo
  • Published 1 October 2016
  • Computer Science
  • 2016 2nd International Conference on Science in Information Technology (ICSITech)
US Presidential election is an event anticipated by US citizens and people around the world. By utilizing the big data provided by social media, this research aims to make a prediction of the party or candidate that will win the US presidential election 2016. This paper proposes two stages in research methodology which is data collection and implementation. Data used in this research are collected from Twitter. The implementation stage consists of preprocessing, sentiment analysis, aggregation… 

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