Accern - COVID-19 Insights & Analytics for US companies (AI powered, NLP, web data)

Metrics: - History from Jan 1st, 2019 - US Companies - Companies are mapped using Bloomberg FIGIs and Tickers. **Events and Company coverage can be extended if required** Methodology: Accern's COVID-19 NLP model has been trained to understand the mentions of COVID-19 events in text documents and uses Accern's knowledge graph. The model identifies only highly relevant articles and passages that contain discussions of COVID-19 issues. For each passage, the model computes a sentiment along with several other analytics. Key Fields: entity_name event_relevance event_sentiment event_text harvested_at event event_group doc_url

搜集汇总

背景与挑战

背景概述

该数据集利用AI驱动的NLP模型和知识图谱，分析2019年1月1日以来美国公司关于COVID-19事件的网络文本，识别高相关性讨论并计算情感分析。它覆盖美国公司，使用Bloomberg FIGIs和Tickers进行映射，关键字段包括实体名称、事件相关性、情感和文本等。