Imam Tahyudin

Two-Stage Framework Using IndoBERT for Sentiment Analysis of Tokopedia Reviews under Extreme Class Imbalance

This study proposes a two-stage classification approach that decomposes the multi-class classification task into two sequential binary classification stages using a BERT-based Indonesian-language transformer model (IndoBERT), and suggests that simplifying the decision space through gradual task decomposition is more effective than intervention at the loss-function level.