zhongyanghan / Sentiment-Analysis-of-Financial-News-Headlines-Based-on-BERTView external linksLinks
本项目旨在利用BERT模型对金融新闻标题进行情感分析，识别新闻标题中的情感倾向（积极或消极）。通过构建一个基于BERT的情感分析系统，我们能够自动化和批量化地处理大量的金融新闻标题，从而大幅提高分析效率和准确性。这不仅有助于及时捕捉市场情绪变化，还能为投资决策提供数据支持，降低人工分析的成本和误差。
☆17Jan 19, 2025Updated last year
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