What type of study is this?

This is a Human Clinical Trial study (also classified as: Observational).

September 10, 2025Scientific Journal of InformaticsOpen Access

Implementation of IndoBERT for Sentiment Analysis of the Constitutional Court's Decision Regarding the Minimum Age of Vice Presidential Candidates

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Authors

VSVery Dwi SetiawanUniversitas Trisakti DIDwi Utari IswavigraBakrie University EAEndang AnggiratihUniversitas WR Supratman

Discussion

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Implication

Analysis demonstrates IndoBERT's superior accuracy in sentiment analysis of YouTube comments, highlighting its effectiveness for understanding public opinion.

Key Points

IndoBERT achieved 95% accuracy in sentiment analysis, outperforming BERT, SVM, and Random Forest.
The model showed significant improvements in capturing nuanced public sentiment regarding a legal ruling.
Extensive preprocessing steps were applied to the YouTube comments dataset of 23,796 for sentiment labeling.
Findings indicate transformer models like IndoBERT can enhance automated sentiment monitoring for government responses.

Cite This Study

Setiawan et al. (2025) studied this question.

synapsesocial.com/papers/68c1c24454b1d3bfb60f00d9 https://doi.org/10.15294/sji.v12i3.26320

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September 10, 2025Scientific Journal of InformaticsOpen Access

Implementation of IndoBERT for Sentiment Analysis of the Constitutional Court's Decision Regarding the Minimum Age of Vice Presidential Candidates

View Full Paper

Ask AI

Bookmark

Authors

VSVery Dwi SetiawanUniversitas Trisakti DIDwi Utari IswavigraBakrie University EAEndang AnggiratihUniversitas WR Supratman

Discussion

Member takes

Implication

Analysis demonstrates IndoBERT's superior accuracy in sentiment analysis of YouTube comments, highlighting its effectiveness for understanding public opinion.

Key Points

IndoBERT achieved 95% accuracy in sentiment analysis, outperforming BERT, SVM, and Random Forest.
The model showed significant improvements in capturing nuanced public sentiment regarding a legal ruling.
Extensive preprocessing steps were applied to the YouTube comments dataset of 23,796 for sentiment labeling.
Findings indicate transformer models like IndoBERT can enhance automated sentiment monitoring for government responses.

Cite This Study

Setiawan et al. (2025) studied this question.

synapsesocial.com/papers/68c1c24454b1d3bfb60f00d9 https://doi.org/10.15294/sji.v12i3.26320

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