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...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Politeknik Negeri Batam
2025-03-01
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| coleção: | Journal of Applied Informatics and Computing |
| Assuntos: | |
| Acesso em linha: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8696 |
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