FinBERT vs Transfer Learning

FinBERT is a specialized language model pre-trained on financial text enabling cryptocurrency traders to extract bullish/bearish sentiment from news, tweets, and regulatory announcements.

A machine learning technique where knowledge learned from one task or dataset is transferred and applied to a related but different task, reducing training time and data requirements by leveraging previously learned patterns.