Delineation of The Early 2024 Election Map: Sentiment Analysis Approach to Twitter Data

Nur Ulum Rahmanulloh, Ibnu Santoso
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Abstract

As a democratic country, the people hold an important role in determining power in Indonesia. The closest political agenda in Indonesia is the 2024 Election. A survey has been conducted by several private survey agencies regarding the 2024 political map which has revealed the top five names, namely Prabowo Subianto, Ganjar Pranowo, Anies Baswedan, Sandiaga Uno, and Ridwan Kamil. This study aims to describe the initial map of the 2024 Election through a sentiment analysis approach to Twitter data. This study uses tweet data that mentions five political figures during 2021. In general, the demographic condition of Twitter users that pros or cons to five political figures, among them: located on the Java, in the age group 19–29 years old, and male.  The sentiment analysis method used is supervised learning with different methods for each figure. The difference in methods adjusts the best evaluation value given in each figure. The results showed that the highest positive sentimental tweets and the highest number of pro accounts was about Ganjar Pranowo. On the other hand, the highest negative sentiment and the highest number of contra accounts was about Prabowo Subianto. Many words that often appear on a figure's positive sentiment are expressions of hope, prayer, and support. On negative tweets, the word that comes up a lot relating to the work field or work region of the figures. 
2024年早期选举地图的描绘:Twitter数据的情感分析方法
印度尼西亚是一个民主国家,人民在决定权力方面发挥着重要作用。印尼最近的政治议程是2024年的选举。几家民间调查机构对2024年政治版图进行了一项调查,结果显示了排名前五的名字,分别是Prabowo Subianto、Ganjar Pranowo、Anies Baswedan、Sandiaga Uno和Ridwan Kamil。本研究旨在通过对Twitter数据的情感分析方法来描述2024年大选的初始地图。这项研究使用了推特数据,其中提到了2021年的五位政治人物。总的来说,推特用户的人口统计状况表明,赞成或反对的政治人物有五种,其中:位于爪哇岛上,年龄在19 - 29岁之间,且为男性。Â使用的情感分析方法是监督学习,每个图形使用不同的方法。方法的差异调整了每个图中给出的最佳评价值。结果显示,积极情感推文和支持账户数量最多的是关于Ganjar Pranowo的。另一方面,负面情绪最高、反对言论最多的是普拉博沃·苏比安托。在人物的积极情绪中经常出现的许多词语都是希望、祈祷和支持的表达。在负面推特上,这个词经常出现在与figures.Â的工作领域或工作区域有关的地方
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