遇见数据集

SAMPLE Raw ESG Data | Controversy Screening for 10K+ companies

收藏
Databricks2025-02-12 收录
官方服务:

资源简介:

Inrate’s ESG Controversy assessments offer a comprehensive solution for analyzing ESG data and identifying material ESG controversies across public and private companies. Leveraging a proprietary news collection tool, we process over 80,000 unique news articles daily from 200,000+ multi-lingual global sources. This rigorous process identifies approximately 650 ESG controversies each day, delivering real-time, actionable insights. Our advanced model categorizes these controversies into 34 informative indicators, simplifying insights for investors. Each controversy is evaluated for its severity based on parameters like durability of consequences, scale of impact, level of involvement, and corrective actions taken. Natural Language Processing (NLP) and Sentiment Analysis are used to analyze news feeds, while auto-tagging identifies companies, people, and locations involved. With controversy scores available at event, indicator, and company levels, our tool enables fast-tracked assessments for informed investment decisions. Inrate ensures unparalleled transparency by providing access to summaries of the controversies that factor into our scores, along with their sources. This allows investors to understand the underlying reasoning and make decisions with greater confidence.

提供机构:
Inrate
搜集汇总
数据集介绍
SAMPLE Raw ESG Data | Controversy Screening for 10K+ companies 数据集图片
背景与挑战
背景概述
该数据集提供针对10,000多家上市及私营公司的ESG争议筛查,每日从20万+多语言全球来源中处理8万+新闻文章,识别约650项争议并分类为34个指标,结合NLP与情感分析评估严重性,同时提供争议摘要及来源,助力投资者做出透明且知情的决策。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务