I have worked on NLP, and custom NER examples. This streamlit demo covers NER in domain context and multiple entities link
- 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.
- 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.
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