C. Song

Extracting Fine-Grained Sentiment Features about Library Services from Reader Feedback Text Using RoBERTa

Robustly Optimized Bidirectional Encoder Representations from Transformers Approach (RoBERTa) model, fine-tuned for domain adaptation with library domain data, and introducing the Aspect-Based Sentiment Analysis (ABSA) framework to extract and classify fine-grained sentiment related to collection services in reader fee...