Open Calais
ABOUT
Thomson Reuters Open Calais™ offers the easiest and most accurate way to tag the people, places, companies, facts, and events in your content to increase its value, accessibility and interoperability. They use Natural Language Processing (NLP) and machine learning algorithms trained by hundreds of Thomson Reuters’ Editorial teams for several years to offer the industry’s best combination of company extraction and relevance. For the user, the process is pretty simple. They feed unstructured text into the extraction engine (news articles, blog postings, etc.) to examine your text and locate: entities, relationships, facts, events and topics
Note: The information is gathered through press information or publicly published About pages of the original websites of the companies, unless stated otherwise.
