Sentiment Visualization of Covid-19 Vaccine Based On Naive Bayes Analysis
COVID-19 is one of the topics that is being discussed intensively. The virus which was declared a global pandemic on March 11 by WHO caused around 2.09 million Indonesians to be infected with the COVID-19 virus. To overcome this, the government carried out a vaccination program. The data taken for...
Main Authors: | Nabilah Putri Aprilia, Dian Pratiwi, Anung Barlianto Ariwibowo |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Brawijaya
2021-10-01
|
Series: | JITeCS (Journal of Information Technology and Computer Science) |
Online Access: | https://jitecs.ub.ac.id/index.php/jitecs/article/view/353 |
Similar Items
-
Naïve Bayes and TF-IDF for Sentiment Analysis of the Covid-19 Booster Vaccine
by: Imelda Imelda, et al.
Published: (2023-01-01) -
Twitter Sentiment Analysis towards COVID-19 Vaccines in the Philippines Using Naïve Bayes
by: Charlyn Villavicencio, et al.
Published: (2021-05-01) -
Sentiment Analysis for Opinions on the Covid-19 Vaccination Program Using a Naive Bayes Classifier
by: Hasna Melani Puspasari, et al.
Published: (2022-11-01) -
Sentiment Analysis From Twitter About Covid-19 Vaccination in Indonesia Using Naive Bayes and Xgboost Classifier Algorithm
by: Alvin Irwanto, et al.
Published: (2023-02-01) -
SENTIMENT ANALYSIS OF TWITTER DATA ON REMOTE LEARNING USING NAÏVE BAYES ALGORITHM
by: Putri Rana Khairina, et al.
Published: (2021-06-01)