The Performance of Machine Learning Model Bernoulli Naïve Bayes, Support Vector Machine, and Logistic Regression on COVID-19 in Indonesia using Sentiment Analysis

The Performance of Machine Learning Model Bernoulli Naïve Bayes, Support Vector Machine, and Logistic Regression on COVID-19 in Indonesia using Sentiment Analysis

The COVID-19 pandemic has significantly impacted Indonesia, necessitating a deeper understanding of public sentiment towards the crisis. This study investigates the performance of three prominent machine learning models: Bernoulli Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression,...

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Bibliographic Details
Main Authors: Wahyu Dirgantara, Fairuz Iqbal Maulana, Subairi, Rahman Arifuddin
Format: Article
Language:English
Published: Universitas Kristen Satya Wacana 2024-04-01
Series:Techne
Subjects:
COVID-19
Machine Learning
Bernoulli Naïve Bayes
Support Vector Machine
Logistic Regression
Sentiment Analysis
Online Access:https://ojs.jurnaltechne.org/index.php/techne/article/view/446

Internet

https://ojs.jurnaltechne.org/index.php/techne/article/view/446

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