Kensho Technologies, an S&P Global company, has released a natural language processing (NLP) solution, Kensho Classify, that derives value from vast amounts of text and documents by making content more discoverable, enabling analysis of text, smart search, content recommendations, and streamlined research and analysis. The solution is tuned for complex business and finance use cases, allowing users to find concepts and topics within documents in a fast and efficient way, with no machine learning or technical skills required. For capital markets participants, the solution can help find market signals from thousands of documents.
Kensho recently introduced the Named Entity Recognition and Disambiguation (NERD) UI, an NLP solution optimised to extract and understand all types of entities in text documents using a context-aware model. The UI allows users to gain insight into the who, what and where of any document. Classify is a sister solution offering insight on more abstract topics spanning sentences or paragraphs. Together, NERD and Classify can give a complete picture of large amounts of text in a quick and efficient manner.
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