A Transformer-Based Approach with Data Augmentation for Multilabel Emotional Context Detection
A fine-tuned Robustly Optimized Bidirectional Encoder Representations from Transformers Approach (RoBERTa) is used to offer a Transformer-based model for identifying multilabel emotional context in textual data to balance emotion categories and enhance the model's capacity for generalization.