Sentiment Analysis of the PeduliLindungi on Google Play using the Random Forest Algorithm with SMOTE
23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
; : 115-119, 2022.
Article
in English
| Scopus | ID: covidwho-2052043
ABSTRACT
At the end of 2019, the world was hit by the COVID-19 virus, which caused a pandemic. Indonesia has become one of the countries that are affected by this pandemic. To control the COVID-19 pandemic, the government has made various efforts, one of which is the use of the PeduliLindunig app. To access the PeduliLindungi app, the public can download it from Google Play. Google Play enables its users to write reviews on the apps that have been downloaded. This study aims to determine the sentiment analysis on the PeduliLindungi application on Google Play using the Random Forest Algorithm with SMOTE. Based on this study, public sentiment towards the PeduliLindungi app on Google Play tends to be negative. The Random Forest and SMOTE algorithms are used to classify sentiment in this study. The implementation of Random Forest and SMOTE resulted in 71% accuracy, 70% recall, and 70% precision. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Randomized controlled trials
Language:
English
Journal:
23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Year:
2022
Document Type:
Article
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