The Implementation of the Naive Bayes Method for Sentiment Analysis in the 2024 Presidential Election
Implementasi Metode Naïve Bayes untuk Analisis Sentimen pada Pemilihan Presiden 2024
DOI:
https://doi.org/10.21070/ups.652Keywords:
Naive Bayes;, Sentiment Analysis;, twitter;Abstract
Twitter is social media platform that allows users to share photos and videos. The 2024 presidential election will held next year, the topic of presidential election has been widely found and has become discussion on the twitter. The purpose of this study is to determine public sentiment towards the 2024 presidential election in Indonesia and the performance of the Naïve Bayes Classifier Algorithm. This research belongs to the category of finely differentiated sentiment analysis. The data used obtained through the twitter scraping process will be classified into 3 classes, positive, negative, and neutral with manual labeling. Using TF-IDF feature extraction method and performance calculation using confusion matrix. This study show 2024 presidential election in Indonesia positive sentiment greater than negative and neutral. Through several test schemes. The best results were obtained by sharing 70% test data and 30% training data Classification using Naïve Bayes algorithm obtained an accuracy of 83%.
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