Untapped textual data is considered by many businesses to be a gold mine of intelligence waiting to be discovered. Kensho NERD (Named Entity Recognition and Disambiguation), a cutting-edge machine learning system, 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.

In this video, we preview:

• How to access Kensho NERD as a service via the S&P Global Marketplace Workbench in order to tag textual information to financial entities

• Using Kensho NERD on Machine Readable Transcripts to identify company names and aliases mentioned during earnings calls, as well as specify the location of the mention in the transcript

• Converting audio into textual data using Kensho Scribe in conjunction with Kensho NERD to extract and map all the entities from that data