Spark NLP for Finance Financial Entity Recognition
Name Entity Recognition on financial texts
This demo shows how you can extract the standard four entities (ORG, PER, LOC, MISC) from financial documents.
Extract Trading Symbols / Tickers
This demo shows how to extract ticker alias from financial texts.
Extract Organizations and Products
This model uses Name Entity Recognition to extract ORG (Organization names) and PRODUCT (Product names).
Extract economic and social entities in Russian
This model extracts entities such as ECO (economics), SOC (social) for economic and social entities, institutions of events, and also quantifiers (QUA), metrics (MET), etc. from Government documents in Russian.
Extract public companies key data from 10-K filings
This demo uses Name Entity Recognition to extract information like Company Name, Trading symbols, Stock markets, Addresses, Phones, Stock types and values, IRS, CFN, etc. from the first page of 10-K filings.
Identify Companies and their aliases in financial texts
This model uses Entity Recognition to identify ORG (Companies), their ALIAS (other names the company uses in financial reports) and company PRODUCTS.