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All Journal Zero : Jurnal Sains, Matematika, dan Terapan
Candra Nursari, Sri Rezeki
Universitas Pancasila
Agriculture, Biological Sciences & Forestry Chemistry Mathematics Physics

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Bidirectional GRU for Aspect-Based Sentiment Classification in Multi-Dimensional Review Analysis Redjeki, Sri; Joshi, Basanto; Situmorang, Alfonso; Guntara, Muhammad; Candra Nursari, Sri Rezeki; Kusumawati, Dara
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 2 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i2.25754

Abstract

Traditional markets in Yogyakarta face mounting pressure from modernization and digital retail competition, yet user-generated reviews remain underutilized. This study applies Aspect-Based Sentiment Analysis (ABSA) with a Bidirectional Gated Recurrent Unit (BiGRU) on 9,222 annotated reviews from nine markets (2016-2024). BiGRU was chosen not only for its efficiency but also for its robustness in low-resource, multilingual settings with informal expressions, where transformer models often require larger datasets and compute. The best configuration with 64 GRU units and a 70:15:15 split achieved 83.4% accuracy (95% CI: ±1.2%) and an F1-score of 0.813, surpassing baselines such as Na
Co-Authors Guntara, Muhammad Joshi, Basanto Kusumawati, Dara Situmorang, Alfonso Sri Redjeki