RavenPack Adopts 'NLP-as-a-Service' Model with Focus on Firms' Internal Data

The news sentiment and analysis specialist wants to help banks tap into the datasets they sit on every day, but don't yet possess the capabilities to use.


RavenPack, an alternative data provider specializing in news analysis using natural language processing (NLP), has adopted what it calls an NLP-as-a-Service model, which involves scouring through a customer’s internal data, looking for unused, alpha-yielding datasets, rather than chasing only external, third-party datasets.

Peter Hafez, chief data scientist at RavenPack, says starting to consume and analyze internal datasets—such as investment notes, analyst reports, emails, and instant

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