Q&A with Thomson Reuters Open Calais - tagging unstructured data

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By Scott Vine

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Abstract

Thomson Reuters is a global leader in the provision of legal, business and financial solutions to those in a range of industries. Open Calais uses open source NLP and machine learning algorithms that have been trained using Thomson Reuters' curated content that supports people, places, companies, facts, topics and events. Jinfo recently caught up with Ofer Harari, product expert and engagement manager for Intelligent Tagging at Open Calais to find out more about the product and its underlying technology, which uses natural language processing (NLP) and machine learning algorithms. We also highlight some use-cases and see how it can add value.


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