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

1. Text Analytics Summit 2010 #TAS10 The Big Questions Facing the Text Analytics Industry Seth Grimes @sethgrimes

2. >>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

3. >> 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”

5. Customers & prospects.

8. >> 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.

9. >> 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).

12. >>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).

13. >> Search, from Keywords to Intelligence Text analytics enables smarter search that better responds to user goals.

14. >> Question Answering Text analytics (information extraction) feeds curated knowledge bases. Search is transformed from information retrieval to information access.

17. >> Finding Business Value In customer-experience initiatives, “more unsolicited, unstructured data [implies] increasing use of text analytics.” -- Bruce Temkin, ex-Forrester Research

18. >>Text Visualization

19. >> Looking Ahead

20. 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.”

21. >>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.

22. >>In Sum Robust growth. Consolidation and emergence. Technical challenges. New frontiers. … and two days to learn more.

23. Text Analytics Summit 2010 #TAS10 The Big Questions Facing the Text Analytics Industry Seth Grimes @sethgrimes