Social analytics and engagement applications provider Attensity has released a new real-time, semantically annotated social media data stream, Attensity Pipeline which extracts detailed insights from millions of social media conversations.
The new release collects data from more than 150 million social media and online sources including the full Twitter Firehose, public Facebook and Google Plus posts, blogs, forums and video and review sites.
Attensity Pipeline transforms the hordes of social chatter into actionable information for the enterprise by utilising the power of Attensity’s semantic engines.
The new release normalises all data into a common JSON format to make consuming the data simple, allowing the Pipeline to act as a single social data feed for the entire enterprise, replacing the need for multiple feeds for various point applications in different departments.
It also enables both deep analytics and routing and response to be performed against the universe of social media conversations in seconds in real time.
The new data stream has filtering features to eliminate irrelevant results and spam as well as additional data augmentation, including geographics, demographics, and influencer metrics.
Attensity Pipeline also includes automatic identification, extraction and tagging of the key sentiments, people, places, products, companies, events and relationships found in the data using Attensity’s natural language processing engines.
Attensity Product Management vice president Catherine van Zuylen said, "The Attensity Pipeline is the first social data stream purpose-built for the needs of today’s enterprise organizations, going beyond mere data sifting to code every useful entity, relationship, event, and category in a document, and making that data immediately actionable for business users."
