Spotfire Content Analytics At TIBCONOW

(This session was from late yesterday afternoon, but I didn’t remember to post until this morning. Oops.)

Update: the speakers were Thomas Blomberg from TIBCO and Rik Tamm-Daniels from Attivio. Thanks, guys!

I went to the last breakout on Monday to look at the new Spotfire Content Analytics, which combines Spotfire in-memory analytics and visualization with Attivio content analysis and extraction. This is something that the ECM vendors (e.g., IBM FileNet) have been offering for a while, and I was interested to see the Spotfire take on it.

Basically, content analytics is about analyzing documents, emails, blogs, press releases, website content and other human-created textual data (also known as unstructured content) in order to find insights; these days, a primary use case is to determine sentiment in social media and other public data, in order for a company to get ahead of any potential PR disasters.

Spotfire Content Analytics — or rather, the Attivio engine that powers the extraction — uses four techniques to find relative information in unstructured content:

  • Text extraction, including metadata
  • Key phrase analysis, using linguistics to find “interesting” phrases
  • Entity extraction, identifying people, companies, places, products, etc.
  • Sentiment analysis, to determine degree of negative/positive sentiment and confidence in that score

Once the piece of content has been analyzed to extract this relevant information, more traditional analytics can be applied to detect patterns, tie these back to revenue, and allow for handling of potential high-value or high-risk situations.

Spotfire Content Analytics (via their ) uses machine learning that allows you to train the system using sample data, since the information that is considered relevant is highly dependent on the specific content type (e.g., a tweet versus a product review). They provide rich text analytics, seamless visualization via Spotfire, agility through combining sources and transformations, and support for diverse content sources. They showed a demo based on a news feed by country from the CIA factbook site (I think), analyzing and showing aggregate sentiment about countries: as you can imagine, countries experiencing war and plague right now aren’t viewed very positively. Visualization using Spotfire allows for some nice geographic map-based searching, as well as text searching. The product will be available later this month (November 2014).

Great visualizations, as you would expect from Spotfire; it will be interesting to see how this measures up to IBM’s and other content analytics offerings once it’s released.

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