Aspect-Dimension Sentiment Analysis for Short Chinese E-Commerce Reviews: A Comparative Study of Lightweight CNN, LSTM and Transformer Models
This study adopts aspect-based sentiment analysis (ABSA) as the core framework and constructs a labeling schema comprising four sentiment dimensions and three polarity levels, yielding 12 classification categories, providing quantitative evidence for model selection under diverse deployment constraints.