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The most widely used NLP library in Finance
As with last year’s survey, Spark NLP is the most popular library for production use
Which NLP Libraries does your organization use in production?
Spark NLP Adoption by Industry
Proven Success across Finance
Vakilsearch Understands Scanned Legal & Tax Forms Using John Snow Labs
A unified CV, OCR, and NLP approach for scalable document understanding at DocuSign
Spark NLP in action: intelligent, high-accuracy fact extraction from long financial documents
Accelerating clinical risk adjustment through Natural Language Processing
Text Classification into a Hierarchical Market Taxonomy using Spark NLP at Bitvore
ESG Document Classification
What’s in the Box
State-of-the-art software + over 100 pre-trained finance-specific models
Finance NLP in Action
Name Entity Recognition
Extract Organizations, People, Locations, and many other entities from long, free-text financial documents.
Extract Financial Relationships
Automatically identify relationships between companies, products, and people – even when they are mentioned using aliases.
Normalization & Data Augmentation
Enrich extracted company names with additional NASDAQ information.
Classify Financial Text
Classify texts into 77 banking-related categories like credit reports, mortgages, money transfers and more.
Financial Sentiment Analysis
Identify positive, negative or neutral sentiments in financial news.
Financial De-identification
De-identify and mask sensitive personal information in documents and images.
Table Understanding
Finance NLP includes Zero-shot Table Understanding. Ask questions to your tables using Natural Language and get answers to them.
Get Started with Finance NLP
