HSUM-HC: Integrating Bert-based hidden aggregation to hierarchical classifier for Vietnamese aspect-based sentiment analysis

Based Sentiment Analysis (ABSA), which aims to identify sentiment polarity towards specific aspects in customers’ comments or reviews, has been an attractive topic of research in social listening. In this paper, we construct a specialized model utilizing PhoBert’s top-level hidden layers integrated into a hierarchical classifier, taking advantage of these components to propose an effective classification method for ABSA task. We evaluated our model’s performance on two public datasets in Vietnamese and the results show that our implementation outperforms previous models on both datasets.