Readers of Major News Sites Benefit from Teragram's Entities and Events Extraction Software

Posted 09/18/2007 on b-eye-network.com

Teragram's extraction technology is one of the driving forces behind the customization by readers of online news content across the Internet.

Teragram, the leading provider of multilingual natural language processing technologies, announced today that its Entities and Events Extraction technology is responsible for the categorization, classification, entities extraction and quick delivery of millions of news articles per month. With most of the top news properties in the USA utilizing the software, including the New York Times, Associated Press, Forbes.com, Boston.com and CNN.com, this equates to tens of millions of accurately extracted and delivered news items per year.

Few organizations require the extraction and comprehensive analysis of information as urgently as the major news outlets. Readers and subscribers to these Websites benefit from Teragram's Entities and Events Extraction software every time they search, browse news by subjects, subscribe to e-mail alerts, or receive specialized content delivered to their desktops. Teragram's software enables news organizations to perform effective text analytics on documents to then extract and deliver information on people, celebrities, organization, places, topics, events, concepts and issues, providing end users with accurate and timely news on the topics they care about most.

Teragram's Entities and Events Extractor software can be used by teams of people, enabling specialists in news organizations to collaboratively create, manage and implement information extraction in real-time. This team approach and process greatly increases the efficiency and accuracy of information retrieval for end-users worldwide.