MTL-BERTNet: A Multi-Task Learning Framework for Aspect and Sentiment Analysis in MOOC Reviews
MTL-BERTNet is proposed, a novel multi-task learning architecture that jointly performs aspect category classification and sentiment polarity detection from MOOC reviews that leverages contextual embeddings from a pre-trained BERT encoder and integrates a convolutional multi-head attention mechanism to capture subtle s...