FinSentGPT: A universal financial sentiment engine?
基于微调ChatGPT构建了金融情感预测模型FinSentGPT，在美国媒体新闻和欧洲央行多语言数据集上测试，发现其情感分类能力与主流英语金融情感模型一致，优于传统机器学习模型，并能跨语言预测情感。
We present FinSentGPT, a financial sentiment prediction model based on a fine-tuned version of the artificial intelligence language model, ChatGPT. To assess the model’s effectiveness, we analyze a sample of US media news and a multi-language dataset of European Central Bank Monetary Policy Decisions. Our findings demonstrate that FinSentGPT’s sentiment classification ability aligns well with a prominent English-language finance sentiment model, surpasses an established alternative machine learning model, and is capable of predicting sentiment across various languages. Consequently, we offer preliminary evidence that advanced large-language AI models can facilitate flexible and contextual financial sentiment determination, transcending language barriers.