Facebook analysis of community sentiment on 2019 Indonesian presidential candidates from Facebook opinion data

Budi Haryanto, Yova Ruldeviyani, Fathur Rohman, T. N. Julius Dimas, Ruth Magdalena, F. Muhamad Yasil, Budi Haryanto

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

On April 17, 2019, Indonesia will hold a presidential general election. Analysis of public sentiment towards presidential candidates and vice-presidential candidates of Indonesia in 2019 through social media especially Facebook, is needed to find out the popularity and public sentiments towards the candidates. Data was obtained through comments on Facebook posts of three major news media in Indonesia, namely Detik (@detikcom), TribunNews (@tribunnews), and Liputan6 (@liputan6online). The Opinion is classified using the data mining approach using the Naive Bayes Classifier algorithm. This research found that 40.52% of the comments were talking about presidential and vice-presidential candidate Joko Widodo and Maruf Amin (Jokowi-Maruf) meanwhile presidential candidate Prabowo Subianto and his running mate Sandiaga Uno (Prabowo-Sandi) dominate the comments by 59.48%. On the contrary, for the sentiment polarity results, the Jokowi-Maruf dominate by 56.76% positive sentiment and 43.24% negative sentiment, while the Prabowo-Sandi received 24.21% positive sentiment and 75.79% negative sentiment.

Original languageEnglish
Pages (from-to)715-722
Number of pages8
JournalProcedia Computer Science
Volume161
DOIs
Publication statusPublished - 1 Jan 2019
Event5th Information Systems International Conference, ISICO 2019 - Surabaya, Indonesia
Duration: 23 Jul 201924 Jul 2019

Keywords

  • Data mining
  • Elections
  • Naive bayes classifier
  • Sentiment analysis

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