Analysis of Sentiments on Indonesian YouTube Video Comments: Case Study of the Indonesian Government's Plan to Move the Capital City

Risky Ade Maisal, Achmad Nizar Hidayanto, Nur Fitriah Ayuning Budi, Zaenal Abidin, Ayi Purbasari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The Indonesian government's plan to move the capital city has received pros and cons in the community. Information related to it has become a trending topic in cyberspace, the internet, including YouTube. Many national news channels discuss this through videos on YouTube in the form of news, talk shows and interactive interviews with certain experts. Sentiment analysis that focuses on social issues is interesting to do on this topic. In contrast to the sentiment analysis carried out on product and service topics which usually uses a lot of adjective as the type of words analyzed to attract opinion sentiments, this study focuses on the verb as a focus to get the results of opinion sentiments related to social issues. With the Naive Bayes and Decision Tree to classifying sentiment, show that 91% and 93% is supporting the planned transfer of the capital city.

Original languageEnglish
Title of host publicationProceedings - 1st International Conference on Informatics, Multimedia, Cyber and Information System, ICIMCIS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages121-124
Number of pages4
ISBN (Electronic)9781728129303
DOIs
Publication statusPublished - Oct 2019
Event1st International Conference on Informatics, Multimedia, Cyber and Information System, ICIMCIS 2019 - Jakarta, Indonesia
Duration: 24 Oct 201925 Oct 2019

Publication series

NameProceedings - 1st International Conference on Informatics, Multimedia, Cyber and Information System, ICIMCIS 2019

Conference

Conference1st International Conference on Informatics, Multimedia, Cyber and Information System, ICIMCIS 2019
Country/TerritoryIndonesia
CityJakarta
Period24/10/1925/10/19

Keywords

  • Decision Tree Classifier
  • Indonesian Government
  • Naive Bayes Classifier
  • Sentiment Analysis
  • Social Issues

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