HiveGuard-AI/taxonomy4good
Taxonomy4Good: a sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed ESG and Sustainability Standards taxonomies.
This project helps sustainability professionals, ESG analysts, and data scientists efficiently categorize and analyze large amounts of unstructured sustainability data. It takes raw text or data and, using pre-built or custom taxonomies, outputs structured, labeled data ready for reporting, analysis, or machine learning models. The end users are typically involved in ESG reporting, impact assessment, or data-driven sustainability initiatives.
No commits in the last 6 months.
Use this if you need to standardize and categorize sustainability and ESG data from various sources to enable consistent analysis and reporting.
Not ideal if you primarily work with financial data that doesn't require specific sustainability or ESG categorization.
Stars
33
Forks
7
Language
Python
License
MIT
Category
Last pushed
Oct 30, 2023
Commits (30d)
0
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