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Welcome - Text Analytics Summit 2010

Welcome - Text Analytics Summit 2010



Welcome address slides for the Text Analytics Summit 2010, presented by conference chair Seth Grimes, Alta Plana Corporation.

Welcome address slides for the Text Analytics Summit 2010, presented by conference chair Seth Grimes, Alta Plana Corporation.



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    Welcome - Text Analytics Summit 2010 Welcome - Text Analytics Summit 2010 Presentation Transcript

    • Text Analytics Summit 2010
      The Big Questions Facing the Text Analytics Industry
      Seth Grimes
    • >>Past, Present & Future
      He who controls the present, controls the past. He who controls the past, controls the future.
      -- derived from George Orwell’s 1984
    • >> The (Near) Past: Lacking Use Cases
      In 1999 –
      “The nascent field of text data mining (TDM) has the peculiar distinction of having a name and a fair amount of hype but as yet almost no practitioners.”
      -- Prof. Marti A. Hearst,
      “Untangling Text Data Mining”
    • >>So “Big Questions”…
      Whatever you call it – “text analytics” ≈ “text mining” ≈ “text data mining” – a lot has happened since.
      How is the industry developing?
      • Solution providers.
      • Customers & prospects.
      • Technology & solutions.
    • >>What’sPastis Prologue
      “Don't look back. Something might be gaining on you.”
      -- Satchel Paige
    • >> The Present: Today’s Market
      I estimate a $425 million global market in 2009.
      • Up about 25% from $350 million in 2008, up in turn 40% from $250 million in 2007.
      Covers software licenses, vendor provided support and professional services.
      $(hundreds) million more value created by:
      Universities and research centers, especially in the life sciences.
      Government, particularly for intelligence & counter-terrorism.
      OEM licensees, for listening platforms, e-discovery, etc.
      Systems integrators and consultants.
    • >> Applications Today
      Broadly grouped --
      Intelligence and counter-terrorism.
      Life sciences.
      Content management, publishing & search.
      Customer & market intelligence.
      Enterprise feedback.
      Law enforcement.
      Risk, fraud, compliance, and investigation.
    • >> Today’s Text Analytics Players
      BI, data mining, and analytics.
      Enterprise- and specialized-application focus.
      Search tools and services.
      Software-tool, OEM suppliers.
      Text analytics pure-plays, diverse applications.
      Web services (APIs).
    • >>Market Trends
      “The Diverse and Exploding Digital Universe,” (IDC, 2008)
      Stronger than ever:
      Life sciences.
      Intelligence & counter-terrorism.
      Continued steep growth:
      Media & publishing.
      • Seek to mine and to classify/process.
      • For users, semantic annotations ease navigation and boost findability.
      Customer experience.
      • Key to quality, satisfaction.
      Market intelligence including competitive intelligence.
      • Aggregates and details are both important.
      New on the scene – or at least newly visible:
      • Social-media monitoring, measurement, analysis.
    • >>Technology Initiatives
      Now and near future.
      Semantic search.
      Guha (IBM), McCool (Stanford), Miller (W3C): “The addition of explicit semantics can improve [navigational and research] search” (2003).
      Question answering.
      Matthew Glotzbach, Google: “Question answering is the future of enterprise search” (2006).
      Sentiment analysis & social-media analytics.
      Bing Liu, Univ of Illinois: “The Web has dramatically changed the way that people express their views and opinions.”
    • >>Technology Initiatives 2
      Now and near future.
      Customer experience.
      Bruce Temkin, ex-Forrester Research: “The future is clearly about analyzing feedback in any form that your customers give it. That’s a trend that won’t go away.”
      Text visualization.
      We’re still coming to terms with the idea of actually extracting and exploiting the information content of rich media.
      Web 3.0 & the Semantic Web.
      Ronen Feldman, Bar-Ilan University and Hebrew University: “Text analytics [is] driving the Semantic Web” (2006).
    • >> Search, from Keywords to Intelligence
      Text analytics enables smarter search that better responds to user goals.
    • >> Question Answering
      Text analytics (information extraction) feeds curated knowledge bases. Search is transformed from information retrieval to information access.
    • >>Sentiment Analysis
      Two assertions:
      • Human communications are inherently subjective.
      • Opinion often masquerades as Fact.
    • >>Sentiment Analysis… & Social Media
      “Sentiment analysis is the task of identifying positive and negative opinions, emotions, and evaluations.”
      -- Wilson, Wiebe & Hoffman, 2005, “Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis”
    • >> Finding Business Value
      In customer-experience initiatives, “more unsolicited, unstructured data [implies] increasing use of text analytics.”
      -- Bruce Temkin, ex-Forrester Research
    • >>Text Visualization
    • >> Looking Ahead
    • The Semantic Web Vision
      “The Semantic Web is a web of data, in some ways like a global database.”-- Tim Berners-Lee, 1998
      An open-architure, coordinated by the W3C standards (World Wide Web Consortium)
      Linked Data: “exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web.”
    • >>Web 3.0
      Web 3.0 = Web 2.0 + the Semantic Web + semantic tools. Recurring themes:
      Semantically enriched -- context sensitive -- localized.
      Text analytics enables Web 3.0 and the Semantic Web.
      Automated content categorization and classification.
      Text augmentation: metadata generation, content tagging.
      Information extraction to databases.
      Exploratory analysis and visualization.
    • >>In Sum
      Robust growth.
      Consolidation and emergence.
      Technical challenges.
      New frontiers.
      … and two days to learn more.
    • Text Analytics Summit 2010
      The Big Questions Facing the Text Analytics Industry
      Seth Grimes