Intelligent Tagging is a centralized web service for extracting structured information from unstructured text. It processes the text you submit and returns: Entities, Topic codes, Events, Facts, and SocialTags. It also links the identified entities to Thomson Reuters entity masters, allowing an easy integration of proprietary unstructured content, such as news or client portfolios, with Thomson Reuters data.
Intelligent Tagging processes textual documents and provides automated & consistent metadata tagging, using standard Thomson Reuters identifiers and schemes. Various content types, such as news, research, company filings, etc., can be easily linked to each other across products, because they all "speak the same language", once processed by Intelligent Tagging.
The metadata tagging process combines a number of methods that analyze the semantic content of a document in order to achieve high levels of accuracy. These include statistical, machine-learning methods and custom pattern-based methods. These are developed in-house by the Text Metadata Services Natural Language Processing team.
Send a request to Intelligent Tagging to obtain entity and event annotation on your documents, linking your unstructured content to Thomson Reuters Open PermID.
Intelligent Tagging can process text, xml, html, and pdf files. The tagging output contains the entities, events and categories identified in the story. Metadata items may contain denotations of relevance / importance, describing how meaningful they are in the story – is the story centered around this entity or event, or is the entity or event just mentioned in the story?
When applicable, metadata items contain a mapping to Thomson Reuters Open PermID, allowing you to connect and browse further information about the entities identified in the text.
Intelligent Tagging is available as a premium hosted or on-premise package; in 2019, Intelligent Tagging will be available as a pay-as-you-go service on Microsoft Azure; the Open Calais API is the free version of Intelligent Tagging. To figure out which package best meets your needs, see the Intelligent Tagging Package Comparison Chart.
Try us out! Use the Intelligent Tagging Demo to see exactly how Intelligent Tagging tags your content.
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