In the past few years the Thomson Reuters NLP Team has been focusing on making industry-leading service, Open Calais, even better.
Open Calais, now includes even more metadata concepts, improved tagging accuracy and leveraged linkage to Thomson Reuters Information Model.
Our best NLP minds invested several years enhancing Open Calais core entities, bringing quality to an excellent level! Here are some highlights of the new fatures:
- Extract additional metadata types to bring more meaning to your unstructured text.
- Better quality of metadata, with emphasize on precision, disambiguation and relevance scores.
- Resolve entities and categories to Thomson Reuters Permanent Identifiers (PermIDs) to append text to and Thomson Reuters’ vast content for easier access to the most relevant information.
- Latency: process a sizeable article well under an average second extracting the relevant facts and events hidden within your text.
This is the same home-grown service and ecosystem relied upon by thousands of Thomson Reuters news professionals to accurately and quickly tag their news articles and it’s now available to you.
Try out our new Demo – We’d love to hear what you think about the new Open Calais. For more information, please email us at firstname.lastname@example.org.