2 papers
cs.LG2026
Not All News Is Equal: Topic- and Event-Conditional Sentiment from Finetuned LLMs for Aluminum Price Forecasting
Alvaro Paredes Amorin, Andre Python, Christoph Weisser
By capturing the prevailing sentiment and market mood, textual data has become increasingly vital for forecasting commodity prices, particularly in metal markets. However, the effe…
cs.CL2025
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…