Abstract
Big data encompasses social networking websites including Twitter as popular micro-blogging social media platform for a political campaign. The explosive Twitter data as a respond of the political campaign can be used to predict the Presidential election as has been conducted to predict the political election in several countries such as US, UK, Spain, and French. The authors use tweets from President Candidates of Indonesia (Jokowi and Prabowo), and tweets from relevant hashtags for sentiment analysis gathered from March to July 2018 to predict Indonesian Presidential election result. The authors make an algorithm and method to count important data, top words and train the model and predict the polarity of the sentiment. The experimental result is produced by using R language and show that Jokowi leads the current election prediction. This prediction result is corresponding to four survey institutes in Indonesia that proved our method had produced reliable prediction results.
Highlights
Elections in Indonesia have taken place since 1955 to elect a legislature
Discussion and prediction about who is the Presidential candidate in Indonesia become a hot and interesting conversation among Indonesian citizen, and many of them expressed it through social media
This paper proposes a new framework to predict the election result and sentiment analysis from Twitter data that focuses on Indonesia Election in 2019
Summary
Elections in Indonesia have taken place since 1955 to elect a legislature. At a national level, Indonesian people did not elect a president until 2004. This research focuses on Twitter data to provide more reliable data for sentiment analysis as part of the prediction method. This paper proposes a new framework to predict the election result and sentiment analysis from Twitter data that focuses on Indonesia Election in 2019.
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