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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Akbar Rikzy Gunawan, Rifda Faticha Alfa Aziza
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Politeknik Negeri Batam 2025-03-01
Saila:Journal of Applied Informatics and Computing
Gaiak:
Sarrera elektronikoa:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8696
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