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, and implementation of Electoral
College system to predict the winning party or candidate. The
implementation of Electoral College will be limited only by using
winner take all basis for all states. The implementations are
referring from previous works with some addition of methods.
The proposed method still unable to use real time data due to
random user location value gathered from Twitter REST API,
and researchers will be working on it for future works.