Fine-tuning of lightweight large language models for sentiment classification on heterogeneous financial textual data

Alvaro Paredes Amorin, Andre Python, Christoph Weisser

Large language models (LLMs) play an increasingly important role in financial markets analysis by capturing signals from complex and heterogeneous textual data sources, such as twe…