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Text Analytics Summit 2010,[object Object],#TAS10,[object Object],The Big Questions Facing the Text Analytics Industry,[object Object],Seth Grimes,[object Object],@sethgrimes,[object Object]
>>Past, Present & Future,[object Object],He who controls the present, controls the past. He who controls the past, controls the future.,[object Object],-- derived from George Orwell’s 1984,[object Object]
>> The (Near) Past: Lacking Use Cases,[object Object],In 1999 –,[object Object],“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.”,[object Object],-- Prof. Marti A. Hearst,,[object Object],“Untangling Text Data Mining”,[object Object]
>>So “Big Questions”…,[object Object],Whatever you call it – “text analytics” ≈ “text mining” ≈ “text data mining” – a lot has happened since.,[object Object],How is the industry developing?,[object Object],[object Object]
Customers & prospects.
Technology & solutions.,[object Object]
>> The Present: Today’s Market,[object Object],I estimate a $425 million global market in 2009.,[object Object],[object Object],Covers software licenses, vendor provided support and professional services.,[object Object],$(hundreds) million more value created by:,[object Object],Universities and research centers, especially in the life sciences.,[object Object],Government, particularly for intelligence & counter-terrorism.,[object Object],OEM licensees, for listening platforms, e-discovery, etc.,[object Object],Systems integrators and consultants.,[object Object]
>> Applications Today,[object Object],Broadly grouped --,[object Object],Intelligence and counter-terrorism.,[object Object],Life sciences.,[object Object],Content management, publishing & search.,[object Object],Customer & market intelligence.,[object Object],E-discovery.,[object Object],Enterprise feedback.,[object Object],Law enforcement.,[object Object],Risk, fraud, compliance, and investigation.,[object Object]
>> Today’s Text Analytics Players,[object Object],BI, data mining, and analytics.,[object Object],Enterprise- and specialized-application focus.,[object Object],Search tools and services.,[object Object],Software-tool, OEM suppliers.,[object Object],Text analytics pure-plays, diverse applications.,[object Object],Web services (APIs).,[object Object]
>>Market Trends,[object Object],“The Diverse and Exploding Digital Universe,” (IDC, 2008),[object Object],Stronger than ever:,[object Object],Life sciences.,[object Object],Intelligence & counter-terrorism.,[object Object],Continued steep growth:,[object Object],Media & publishing.,[object Object],[object Object]
For users, semantic annotations ease navigation and boost findability.Customer experience.,[object Object],[object Object],Market intelligence including competitive intelligence.,[object Object],[object Object],New on the scene – or at least newly visible:,[object Object],[object Object],[object Object]
>>Technology Initiatives 2,[object Object],Now and near future.,[object Object],Customer experience.,[object Object],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.” ,[object Object],Text visualization.,[object Object],We’re still coming to terms with the idea of actually extracting and exploiting the information content of rich media.,[object Object],Web 3.0 & the Semantic Web.,[object Object],Ronen Feldman, Bar-Ilan University and Hebrew University: “Text analytics [is] driving the Semantic Web” (2006).,[object Object]
>> Search, from Keywords to Intelligence,[object Object],Text analytics enables smarter search that better responds to user goals.,[object Object]
>> Question Answering,[object Object],Text analytics (information extraction) feeds curated knowledge bases.  Search is transformed from information retrieval to information access.,[object Object]
>>Sentiment Analysis,[object Object],Two assertions:,[object Object],[object Object]
Opinion often masquerades as Fact.,[object Object]
>> Finding Business Value,[object Object],In customer-experience initiatives, “more unsolicited, unstructured data [implies] increasing use of text analytics.”,[object Object],-- Bruce Temkin, ex-Forrester Research,[object Object]
>>Text Visualization,[object Object]
>> Looking Ahead,[object Object]
The Semantic Web Vision,[object Object],“The Semantic Web is a web of data, in some ways like a global database.”-- Tim Berners-Lee, 1998,[object Object],",[object Object],An open-architure, coordinated by the W3C standards (World Wide Web Consortium),[object Object],Linked Data: “exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web.”,[object Object]
>>Web 3.0,[object Object],Web 3.0 = Web 2.0 + the Semantic Web + semantic tools.  Recurring themes:,[object Object],Semantically enriched -- context sensitive -- localized.,[object Object],Text analytics enables Web 3.0 and the Semantic Web.,[object Object],Automated content categorization and classification.,[object Object],Text augmentation: metadata generation, content tagging.,[object Object],Information extraction to databases.,[object Object],Exploratory analysis and visualization.,[object Object]
>>In Sum,[object Object],Robust growth.,[object Object],Consolidation and emergence.,[object Object],Technical challenges.,[object Object],New frontiers.,[object Object],… and two days to learn more.,[object Object]

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