Enhancing Sentiment Analysis with ModernBERT

Since its introduction in 2018, BERT has transformed Natural Language Processing. It performs well in tasks like sentiment analysis, question answering, and language inference. Using bidirectional training and transformer-based self-attention, BERT introduced a new way to understand relationships between words in text. However, despite its success, BERT has limitations. It struggles with computational efficiency, handling […]