# Financial sentiment analysis

A news analysis model fine-tuned based on Llama-3.2-3B, supporting summarization, sentiment analysis, stock ticker extraction, and ad recognition

This model is a financial sentiment analysis model fine-tuned based on DistilBERT, specifically designed for sentiment classification of financial texts.

FinABSA is a model trained on the T5-Large architecture for Aspect-Based Sentiment Analysis (ABSA) tasks. It can parse sentences containing multiple aspects. By replacing the target aspect with the [TGT] token, the model can focus on sentiment prediction for that specific aspect.

A financial news sentiment analysis model fine-tuned based on DistilRoBERTa, with an accuracy rate of 98.23%.