Public Sentiment Analysis on the 2024 North Sumatra Governor Candidates on YouTube: A Comparison of Naive Bayes and TextBlob Algorithms
Suvriadi Panggabean (a*), Dedy Kiswanto (a), Nurul Maulida Surbakti (a))

a) UNIMED FMIPA Mathematics Department
Jl. Willem Iskandar Pasar V
*suvriadi[at]unimed.ac.id

Abstract

The 2024 North Sumatra Governor Election has captured public attention, especially on social media platforms such as YouTube. This study aims to analyze public sentiment toward two gubernatorial candidates, Boby Nasution and Edy Rahmayadi, based on comments posted on YouTube. Two sentiment analysis methods were employed in this research: Naive Bayes and TextBlob. The analysis results reveal that negative sentiment dominates public opinion toward both candidates, with Edy Rahmayadi receiving more criticism compared to Boby Nasution. Although there are some positive and neutral comments, the dominance of negative sentiment is the primary focus. These findings highlight the importance for both candidates to respond effectively to public criticism through improved campaign strategies. The visualization of the analysis results provides clear insights into the distribution of public sentiment, which can serve as a guide for the candidates in formulating their strategic steps moving forward

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Topic: Mathematics and Computational System