EDGAR | 25年数据的预训练词向量模型
EDGAR 是美国证券交易委员会（SEC）的电子数据收集、分析和检索系统。EDGAR系统允许公众通过互联网访问公司提交给SEC的各种文件，例如注册声明、年度报告和其他披露文件。这些文件包括公司的财务信息、业务信息和其他关键信息，对于投资者和研究人员来说非常有用。金融等方向的同学，如果想用 **词嵌入** 技术开展研究， 可以考虑使用这个开源的数据集。EDGAR is an electronic data collection, analysis, and retrieval system of the US Securities and Exchange Commission (SEC). The EDGAR system allows the public to access various documents submitted to the SEC by companies through the internet, such as registration statements, annual reports, and other disclosure documents. These documents include financial information, business information, and other key information of the companies, which is very useful for investors and researchers. Students in finance and related fields who want to conduct research using word embedding techniques may consider using this open-source dataset....
