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Sentiment Analysis of E-Learning Apps by Gilang Prasetyo is a document available to read on EtoBox.

What is Sentiment Analysis of E-Learning Apps about?

This document summarizes a research paper that analyzed sentiment of online learning applications on the Play Store during the COVID-19 pandemic using the Support Vector Machine (SVM) algorithm. The researchers collected around 1,500 reviews from five popular learning apps: Teacher Room, Zenius, Smart Class, Edmodo, and Google Classroom. After preprocessing the data, they applied the SVM model and found the accuracy levels were highest for Teacher Room at 83.33%, followed by Zenius at 82.67%, and Smart Clas

Author
Gilang Prasetyo
Language
EN