FactSet Named Entity Recognition

Leverage FactSet’s Machine Learning-based Named Entity Recognition service to identify people and company names, mapped to FactSet Entity Identifiers in any text content, such as News, Research Reports, Transcripts, or Filings.

Conduct your analysis within your Snowflake environment, reducing burdensome ETL processes and saving time.

Rely on a single system for your data collection and tagging needs. Optimize the organization of your internal data assets and 3rd party data to increase efficiency, transparency, and scalability.

搜集汇总

背景与挑战

背景概述

FactSet命名实体识别数据集利用基于机器学习的服务，从新闻、研究报告等文本中识别人员与公司名称，并关联到FactSet实体标识符。它支持在Snowflake环境中进行分析，简化ETL流程并节省时间，同时通过单一系统整合数据收集与标记，优化内部及第三方数据管理，以提高效率、透明度和可扩展性。