分析COVID-19对加密货币和金融市场的影响,并使用深度组合模型进行情绪分析
Patrick Bernard Washington1, Pradeep Gali2, Furqan Rustam3
1Division of Business Administration and Economics, Morehouse College, Atlanta, GA, United Sates of America.
PloS one
|September 28, 2023
概括
COVID-19大流行影响了全球经济和金融市场. 这项研究使用Twitter数据和CNN-LSTM模型分析了大流行期间金融和加密货币市场的公众情绪.
科学领域:
- 经济学 经济学 经济学
- 金融 金融 金融 金融 金融
- 数据科学数据科学数据科学
背景情况:
- 随着COVID-19的蔓延,全球经济出现了严重的混乱和通货膨胀.
- 金融和加密货币市场经历了相当大的波动,一些加密货币市场达到前所未有的峰值.
- 在疫情期间,公众对这些市场的看法和情绪仍然是需要调查的领域.
研究的目的:
- 分析COVID-19对公众论和对金融和加密货币市场的情绪的影响.
- 通过使用社交媒体数据,调查大流行期间的投资情绪.
- 对市场价值进行损害分析,并确定金融和加密货币市场的关键时期.
主要方法:
- 在COVID-19高峰期间,对与金融和加密货币市场相关的推特的情绪分析.
- 使用 SNSscraper 库从 Twitter 提取数据.
- 开发和应用混合CNN-LSTM (卷积神经网络长期短期记忆) 模型,用于情绪分类和话题提取.
主要成果:
- CNN-LSTM模型获得了高的F1分数:加密货币市场的0.89和金融市场的0.92.
- 情绪分析揭示了疫情期间公众投资情绪.
- 主题提取确定了关于金融和加密货币市场的公共话语中的关键主题.
结论:
- 该研究成功地应用了混合CNN-LSTM模型来分析COVID-19大流行期间金融和加密货币市场的公众情绪.
- 调查结果提供了关于全球危机期间市场波动,公众看法和投资行为的见解.
- 这项研究强调了社交媒体数据和先进的NLP技术对理解市场动态的有用性.
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