Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 11 Issue 12
Sentiment Analysis of YouTube Comments: Potential Indonesian Presidential Election Candidates
Dimaz Cahya Ardhi, Dwi Puspita Sari
10.7753/IJCATR1112.1010
keywords : sentimental analysis, YouTube comments, presidential election, WordCloud, Python, Coberry, Tidyverse, Textblob
This study examines the public's sentiments toward potential candidates for the 2024 Indonesia presidential election. This study utilized YouTube comments on the Kompas TV channel, which features videos from potential presidential candidates, as its data source. Coberry is used to download YouTube comments, which are then analyzed using Python using the Pandas Library, matplotlib, wordcloud, and textblob. This study aims to determine the public's response to presidential candidates in the general election of 2024. This study shows that the public has positive sentiments toward the three presidential candidates named Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto.
@artical{d11122022ijcatr11121010,
Title = "Sentiment Analysis of YouTube Comments: Potential Indonesian Presidential Election Candidates ",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "11",
Issue ="12",
Pages ="451 - 456",
Year = "2022",
Authors ="Dimaz Cahya Ardhi, Dwi Puspita Sari"}
The study examines the sentiments toward potential Indonesian presidential election candidates.
The study utilizes YouTube comments on the Kompas TV channel.
The study uses Coberry to download YouTube comments.
The study analyzes YouTube comments with Python.