NLP for Document Classification

The GFSC is experimenting with NLP to classify and identify documents with material issues of supervisory concern. The tool aims to reduce supervisory effort by flagging only those documents with issues deemed material for manual review. It also seeks to improve the likelihood of identifying material issues.

• Use cases, geography and tags
• Organizations that created, adopted or are mentioned
• Ecosystem position
• Link to the original asset
• Comments and reactions