Kensho NERD
NERD for people now leverages S&P Global's Professionals dataset to provide a richer understanding of millions of professionals. When you submit a document to NERD, it will now identify people in text and provide their Professional ID.
Kensho NERD (Named Entity Recognition and Disambiguation) is a cutting-edge machine learning system that unlocks the full potential of your textual data by linking it to existing sources of structured knowledge. Trained on millions of business-related documents, NERD is the only technology on the market specifically optimized to extract financial entity information from text documents.
With NERD you can:
- Uncover the companies, subsidiaries, other financial organizations, and people that appear in your textual data, powering smart search and supercharged research workflows
- Link those entities to their entries in S&P Global's rich Capital IQ database, augmenting your textual data by making new connections and enabling deeper insights
- Leverage the unique power of NERD's AI to find the people, places, products, and events with NERD's Wikimedia engine, which links to a broad knowledge base containing tens of millions of entities
- Discover powerful synergies when you combine NERD with other Kensho AI-enabled services including Link and Scribe
Service Provider Information
This demo is designed to showcase NERD's core functionality. Input any text into the box below or select from one of the example documents and NERD will identify and link Capital IQ or Wikimedia entities found therein.
This is a demo only. The full service includes entity confidence scores, the ability to link to both the Capital IQ and Wikimedia knowledge bases simultaneously, and other features that allow NERD to serve your unique needs.
Key Information
Use Cases
- Real-time extraction of the key companies, events, and people in your news feed, unlocking hidden insights
- Analysis of unstructured text, such as investigating suppliers and competitors mentioned in company filings and transcripts
- Finding mentions of entities relevant to your work, enabling you to drill down instantaneously to the documents you need to see
Benefits
- Combining state-of-the-art entity recognition techniques with context-aware linking in order to extract entity information in text
- Resolving ambiguous entity mentions, including abbreviations, acronyms, and aliases
- Leverage one of the most expansive company databases in the world, with over 18 million entities