Social Media Company, Sentiment360, Acquires Advanced Conversation Mining Technology from Enkia Corporation

Online, January 5, 2011 (Newswire.com) - Atlanta based Sentiment360, Inc. a social media monitoring and analytics company announced today that it has completed the acquisition of artificial intelligence text mining technology from Enkia Corporation.

"Enkia's artificial intelligence technology will allow Sentiment360 to deliver breakthrough semantic search capabilities that will give business users intuitive and powerful real-time access to online social media conversations and trends," said Sentiment360's CEO and founder, Gary Cooper. "This will add a tremendous edge to Sentiment360's current suite of services that already provide the most accurate social media monitoring and analytics in the marketplace."

The new Sentiment360 technology will allow for the most accurate monitoring of all new media, from social media through to traditional websites. Users will no longer have to enter keywords but will be able to rely on Sentiment360's offering to find and report on all aspects of online conversations. In addition, the technology will allow users to predict positive and negative conversation trends. The affordable Sentiment360 dashboard solution can be adapted for internal enterprise use as well.

Enkia Corporation, was founded in 1998 by Professor Ashwin Ram, Director of Georgia Tech's Cognitive Computing Laboratory and includes GE, General Motors, Cox Enterprises and the U.S. Air Force among its clients. "With our current semantic artificial intelligence products and those in development, it was a wise decision for us to partner with Sentiment360. We see this as a perfect blend of technology, marketing and research that will drive the next generation of social media," said Dr. Ram. "All levels of business, from marketing to risk management and security are looking for the most accurate and cost effective methods of monitoring the massive amounts of online unstructured data. Our product offerings address those needs today using the latest natural language processing techniques," he added.