
NLP Topic Modeling on SEDAR Securities Filings
AMF Quebec's NLP topic-modeling pipeline applied to SEDAR securities filings to support market conduct surveillance across a massive public securities document corpus, identifying disclosure themes and emerging risks.
- Use cases, geography and tags
- Organizations that created, adopted or are mentioned
- Ecosystem position
- Link to the original asset
- Comments and reactions