Comparison of K-Nearest Neighbors and Naive Bayes Classifier Algorithms in Sentiment Analysis of 2024 Election in Twitter (X)

Comparison of K-Nearest Neighbors and Naive Bayes Classifier Algorithms in Sentiment Analysis of 2024 Election in Twitter (X)

This study compares the performance of the K-Nearest Neighbors (K-NN) and Naive Bayes Classifier (NBC) algorithms in sentiment analysis of the 2024 Regional Election (Pilkada) based on Indonesian local data sourced from platform X. A total of 1,187 tweets were collected through crawling, followed by...

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Bibliographic Details
Main Authors: Lola Enjelia, Yana Cahyana, Rahmat, Deden Wahiddin
Format: Article
Language:English
Published: Politeknik Negeri Batam 2025-06-01
Series:Journal of Applied Informatics and Computing
Subjects:
sentiment analysis
k-nearest neighbor (knn)
naive bayes
2024 election
twitter (x)
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9593
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