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Intelligent Tagging Entity Extraction Topics NLP

Refinitiv
Machine learning, text analytics, entity resolution, ticker extraction, and topic classification.
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Intelligent Tagging Entity Extraction Topics NLP

Refinitiv

5.0 (3)

Machine learning, text analytics, entity resolution, ticker extraction, and topic classification.

Looking for smart search? Need descriptive semantic metadata that reflect the latest world events?

No need for any Machine Learning experience!

Leverage the Natural Language Processing Text Analytics, and Text Classification service that powers the largest news agency, Reuters.

Join the community of thousands who use Open Calais - now available as Intelligent Tagging PAY-AS-YOU-GO.

Optimized for news, research, transcripts and financial content.

Tag organizations, people, places, facts, topics and events, resolve to real-world identities (unique permanent URIs), and also get relevance scores.

 

Features:

Pay-as-you-go

Create or Delete, manually or programmatically. Pay only for what you use.

Packages

Basic or Premium. See Plans for pricing.

Data always up to date

Tap into Refinitiv data - the only NLP service that constantly pulls from the Refinitiv high quality financial data masters into your Azure account - resulting in accurate and current metadata.

Manually trained topic tags

Extensive hierarchical topic taxonomy, built using supervised machine learning, trained daily by dozens of Refinitiv professional human analysts.

Security

Intelligent Tagging servers run inside your Azure network (Managed Application), secured and accessible only by you. 

Global

Choose any one of the Azure worldwide data centers.

Get started

Register for Open Calais - free on the Refinitiv cloud.

Try It: visual demo web tool

Video: How to create Intelligent Tagging on Azure 

 

Support

Intelligent Tagging on Azure is self-service. Please use Dev Community and Documentation.

  

About Refinitiv

Refinitiv provides data, analytics, trading, and risk assessment tools - Trade smarter and faster, overcome regulatory challenges, and scale intelligently.

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