Sentiment Analysis Using LSTM Algorithm Regarding Grab Application Services in Indonesia

This study aims to analyze the sentiment of user reviews for the Grab Indonesia application using Long Short-Term Memory (LSTM) algorithms. Two variants of LSTM, namely Stacked LSTM and Bi-Directional LSTM, were compared to determine the most effective model in classifying user review sentiments. Bo...

Full description

Saved in:
Bibliographic Details
Main Authors: Akbar Rikzy Gunawan, Rifda Faticha Alfa Aziza
Format: Article
Language:English
Published: Politeknik Negeri Batam 2025-03-01
Series:Journal of Applied Informatics and Computing
Subjects:
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8696
Tags: Add Tag
No Tags, Be the first to tag this record!