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With HPE HAVEn Social Media Analytics capacities, you can maximize the return on your investment and gain a competitive advantage by getting the most up-to-date, 360-degree intelligence about customers, prospects, competitors, partners, citizens and influencers, and you can get as a servicee. Key features include:

Comprehensive monitoring. See over 200 million social media and broadcast news mentions daily across the globe, including popular social media sites such as Facebook, Twitter, Instagram, YouTube, RSS Blogs and more.

Discover the unknown unknowns. By identifying, understanding, and prioritizing concepts within data, HPE IDOL uses the Automatic Categorization and Clustering of data to uncover -hidden gems- that may bring breakthrough insight for game-changing decisions and actions.

Advanced Text Analysis.  Patented pattern-matching technology generated conceptual and contextual understanding of data.

Sentiments. Instead of relying on pre-determined rules, HPE IDOL Technology looks at sentiment from a conceptual standpoint. Sentiment is broken out into smaller components called -vibes- where one positive blog post may have several vibes elements—some negative and some positive—provide a complete, conceptual understanding of the interaction

  Comprehensive monitoring. See over 200 million social media and broadcast news mentions daily across the globe, including popular social media sites such as Facebook, Twitter, YouTube, and Google +.
  Advanced Text Analysis.  Patented pattern-matching technology generated conceptual and contextual understanding of data.
  Sentiments. Instead of relying on pre-determined rules, HP IDOL Technology looks at sentiment from a conceptual standpoint. Sentiment is broken out into smaller components called “vibe,” where one positive blog post may have several vibe elements—some negative and some positive—provide a complete, conceptual understanding of the interaction.
  Discover the unknown unknowns. By identifying, understanding, and prioritizing concepts within data, IDOL uses the Automatic Categorization and Clustering of data to uncover ‘hidden gems’ that may bring breakthrough insight for game-changing decisions and actions.

 

Big Data Social Media Analytics

 

Key Features

  Sources

  • Twitter
  • Facebook
  • Instagram
  • YouTube
  • Blogs

  Capacities

  • Volume
  • Trending
  • Temperature
  • Hot Topics
  • Sentiments
  • Statistics

  Analytics

  • Alerting
  • Concept Detection
  • Relationship Detection
  • Automatic Classification
  • Sentiment Analysis
  • Clustering

 

Products

Hp Enterprise Customers

  • HPE HAVEn
  • HPE IDOL
  • HPE Vertica

 

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  • Real-time
  • Historical

 

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