sb-ai-lab/ESGify
ESGify is a model for multilabel news classification with respect to ESG risks.
This tool helps financial analysts, ESG researchers, and risk managers automatically identify relevant ESG (Environmental, Social, and Governance) risks from news articles. You feed it a news text, and it outputs the top ESG risk categories and their scores from a list of 46 specific ESG classes, helping you quickly assess potential impacts.
No commits in the last 6 months.
Use this if you need to rapidly categorize large volumes of news content for ESG-related risks without manual review.
Not ideal if you require a simple keyword search for ESG terms or if your primary need is general news sentiment analysis rather than specific risk classification.
Stars
35
Forks
5
Language
—
License
Apache-2.0
Category
Last pushed
Feb 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/sb-ai-lab/ESGify"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Shubxam/Nifty-500-Live-Sentiment-Analysis
Live Sentiment Analysis dashboard of NIFTY 500 universe of stocks using plotly and streamlit
lefterisloukas/edgar-crawler
The only open-source toolkit that can download SEC EDGAR financial reports and extract textual...
yya518/FinBERT
A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097
shirosaidev/stocksight
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python...
databricks-industry-solutions/esg-scoring
In this solution, we offer a novel approach to sustainable finance by combining NLP techniques...