BiLSTM achieves 98.87% accuracy and F1-score on Indonesian e-commerce review sentiment analysis, slightly outperforming the best machine learning model LightGBM at 98.23%.
Implementation of bilstm and indobert for sentiment analy- sis of tiktok reviews.JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), 10:96–106, 1 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Benchmarking LightGBM and BiLSTM for Sentiment Analysis on Indonesian E-Commerce Reviews
BiLSTM achieves 98.87% accuracy and F1-score on Indonesian e-commerce review sentiment analysis, slightly outperforming the best machine learning model LightGBM at 98.23%.