BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained language model that can be fine-tuned for various natural language processing tasks, including sentiment analysis.

ModernBERT, like BERT, is an encoder-only model. Encoder-only models have the characteristic of outputting a 'list of numbers (embedding vector)', which means that they literally encode human ...