New York, NY (PRWEB) June 25, 2012
In response to the growing demand for high quality social data intelligence from a wide range of industries, Converseon, the leading social strategy and analytics firm, announced today the launch of ConveyAPI (http://conveyapi.com) a new machine-learning based text analytics service that is setting the standard for accuracy, precision, and understanding of the social conversation.
“We see social intelligence as the lifeblood to literally thousands of new and emerging applications,” said Rob Key, CEO of Converseon. “The mission of ConveyAPI is to become the engine that powers an ever-expanding ecosystem of third party socially-intelligent business applications.”
With ConveyAPI, Converseon takes a step beyond the use of social media data for monitoring and engagement by fueling high quality social data and metadata into applications that deliver the promise of big data. These range from predictive analysis for capital markets, lead generation, and sales forecasting, to eCommerce apps, content personalization engines, and rating and review sites.
ConveyAPI combines Converseon’s massive reservoir of meticulous, human coded records across more than 50,000 brands together with advanced machine learning and natural language processing to attain near-human level analysis at scale, including sentiment, emotion, intensity, relevance, and implicit meaning. Recent tests show ConveyAPI’s sentiment coding solution achieving 90-95% of human performance -- high enough to yield the benefits of human coding cost effectively and on a previously unprecedented scale.
ConveyAPI is also rolling out additional classifiers that go far beyond standard social intelligence dimensions, tuned to specific business problems, industry verticals, and organizations. This is achieved through ongoing semi-supervised training of the system to quickly develop new classifiers as well as capture the nuances of human language as it evolves and changes context.
ConveyAPI is the result of nearly three years of research and development by Converseon’s team of leading data scientists including Dr. Philip Resnik of the University of Maryland, and Dr. Jason Baldridge, professor at University of Texas, Austin and Co-Founder of the OpenNLP project. The technology was developed originally to solely support Converseon’s Conversation Miner™ platform, which was called category leader in the Forrester Wave of Listening Platforms, Q3 2010, and associated applications. However, the growing demand for the integration of social intelligence into other applications inspired the development of ConveyAPI.
“The quality, adaptability and scalability of ConveyAPI demonstrates the immense power of using tremendous amounts of high-quality labeled training data combined with an ongoing semi-supervised learning and annotation process,” said Jason Baldridge, senior data scientist. "We have put theory and state-of-the-art methods into practice in order to generate tangible, effective, and powerful results."
Converseon is an award winning social strategy and analytics firm that helps brands harness the power of social media to meet business objectives. Headquartered in New York, Converseon’s team extends to Detroit, San Francisco, Austin and Copenhagen. For additional information please contact Converseon at info(at)converseon(dot)com or learn more about ConveyAPI at http://conveyapi.com or Converseon at http://www.converseon.com, http://www.twitter.com/converseon or http://blog.converseon.com