6. Text+ technologies today Text analytics, by generating semantics, bridges search and BI to turn Information Retrieval into Information Accessfor online, social & enterprise content. Information management Search BI Text Analytics Information access Integrated analytics Semantic search
7. Applications today Broadly grouped -- Intelligence and counter-terrorism. Life sciences. Content management, publishing & search. Customer & market intelligence. E-discovery. Enterprise feedback. Law enforcement. Risk, fraud, compliance, and investigation.
8. Resegmenting the market Information Acquisition NLP (natural language processing) (including aaS) Information management & semantics Databases, repositories, content management systems • Information integration • Semantic Web Search-based/oriented applications E-discovery and compliance • Semantic search • Media & publishing • Advertising Enterprise applications Customer experience/relationship management and marketing including social • Market research and competitive Intelligence • BI and research • Online commerce • Life sciences • Intelligence
9. Market size I estimate a global, 2010 text-analytics market of – $15 million ≈ Information acquisition (TA part) E.g., 80legs, Informatica, ISYS Search, Kapow Software, Oracle. $455 million ≈ NLP, semantics & text analytics Installed & as a service, including vendor professional services. $35 million ≈ Information management applications of TA Companies such as EMC, IBM, MarkLogic, Open Text, and Oracle. $30 million ≈ Enterprise applications of text analytics Typically OEM TA licensees, e.g., Radian6, SatMetrix, Vovici. $300 million ≈ Search-based applications (TA part) Companies such as Autonomy, Cataphora, Dow Jones/Factiva, Elsevier, Endeca, FirstRain, Google, IBM, Lixto, Thomson Reuters. = $835 million.
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11. Text technology initiatives Now and near future. Semantic search. Sentiment analysis. Listening platforms. Question answering. Text visualization. Web 3.0 & the Semantic Web.
12. Text technology initiatives, revisited But I used that list last year! Revising very slightly: Semantic search. Sentiment analysis. Lots of market confusion, including from some folks at TAS11. Listening platforms. Question answering. Text visualization. Web 3.0 & the Semantic Web. Ronen Feldman, Bar-Ilan University and Hebrew University: “Text analytics [is] driving the Semantic Web” (2006). Copious European government research funding, coupled with wishful thinking, is driving the Semantic Web.
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15. And Your Investment? Robust growth across applications. Technical innovation. New frontiers. Consolidation and emergence. Opportunity You have two days to learn more!
16. Text Analytics: The Industry At A Glance Where We Are, Where We’re Going, and Your Text Mining Investment Seth Grimes @sethgrimes #TAS11