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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Transformatika INTECOMS: Journal of Information Technology and Computer Science Journal of Computing Theories and Applications
Jutono Gondohanindijo, Jutono
Fakultas Ilmu Komputer,UNAKI, Semarang
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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A Comparative Study of Embedding Techniques and Classifiers for Aspect-Based Sentiment Analysis of Shopee Reviews Gondohanindijo, Jutono
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.14976

Abstract

E-commerce platforms like Shopee generate massive volumes of user reviews that contain valuable insights about products, services, and user experiences. Aspect-Based Sentiment Analysis (ABSA) enables fine-grained sentiment classification by identifying sentiment polarity toward specific aspects such as product quality, pricing, delivery, and application performance. This study presents a comprehensive comparative analysis of different embedding techniques and classification models for ABSA on Indonesian Shopee reviews. We evaluate three embedding approaches: FastText, GloVe, and BERT embeddings, combined with four classification models: Support Vector Machine (SVM), Convolutional Neural Network (CNN), BERT, and IndoBERT. Our experiments focus on five key aspects: product, price, delivery, application, and general sentiment. The results demonstrate that FastText embeddings combined with IndoBERT classifier achieves the highest accuracy of 91.59%, while BERT embeddings show more balanced performance across different classifiers. The findings provide valuable insights for e-commerce platforms seeking to implement effective sentiment analysis systems for Indonesian market understanding. Keywords - Aspect-Based Sentiment Analysis, FastText, GloVe, BERT, IndoBERT
Co-Authors De Rosal Ignatius Moses Setiadi Dharmawan, Alexander Edi Noersasongko Etika Kartikadarma Gomiasti, Fita Sheila Insiyyah, Insiyyah Jaya, Theofilus Palaun Muljono Muljono Muslikh, Ahmad Rofiqul Ojugo, Arnold Adimabua Prihati, Yani Pujiono Pujiono Putra, Jeremi Azero Putri, Christine Cecillia Syahroni Wahyu Iriananda, Syahroni Wahyu Tiert, Baruch Daniel Warto - Wicaksono, Adityo Putro Widayati, Yohana Tri Widjaja, Stephanus Widodo, Tulus Suryo