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Opening talk, 2012 Text Analytics Summit, by Seth Grimes
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Text and Beyond
Seth Grimes@sethgrimes#TAS12
A slide from the past…
Vox Populi
Milestones [and goal(s)?] (circa 2011)
Language+ understanding.• Text, speech, and video.• Narrative, discourse, and argument.
Information extraction.
Knowledge structuring and integration.
Inference; synthesis.
Language generation.
Conversation; interaction; autonomy.
≈> Convergence, a.k.a. Singularity
Text stories of the last 12 months…
Big Data: the 3 Vs.
APIs, platforms, and cloud services.
Acquisitions: Information access.• Autonomy HP.• Endeca Oracle.• ISYS Lexmark.• Vivisimo IBM.
Social media magic (?), e.g.,• Oracle Social Network (+ Collective Intellect).• SAP Social Media Analytics.
Knowledge, enrichment & integration.
More
Filtering
Velocity & Volume. (Where’s Variety?)
Down with IT!Up with users!
A Big Data analytics architecture (HPCC’s)
http://www.geeklawblog.com/2011/12/lexis-advance-platform-launch-two.html
http://hpccsystems.com/
You can’t have it all?!
Where are the flexibility, the (data/content) sophistication, and real-timedness?
Platform plays; advantage APIs
Text stories of the last 12 months…
Big Data: the 3 Vs.
APIs, platforms, and cloud services.
Acquisitions: Information access.• Autonomy HP.• Endeca Oracle.• ISYS Lexmark.• Vivisimo IBM.
Social media magic (?), e.g.,• Oracle Social Network (+ Collective Intellect).• SAP Social Media Analytics.
Knowledge, enrichment & integration.
We’re here
Fusions
“By NetBase”?!
No analytics?
Social media magic (?) (2 examples)
Knowledge, enrichment & integration
Semantics enables join across types and/or sources and/or structures, using meaningful identifiers, to create an ensemble that is greater than the sum of the parts.
Interrelate information to represent knowledge. Enrichment and integration involve:
• Mappings and transformations.• Aggregation and collection.• All the typical data concerns: cleansing,
profiling, consistency, security,…
Question Authority
https://secure.wikimedia.org/wikipedia/en/wiki/File:Watson_Jeopardy.jpg
http://img.freebase.com/api/trans/raw/m/02dtnzv
http://www.cambridgesemantics.com/semantic-university/semantic-search-and-the-semantic-web
The Semantic Web?
A knowledge representation built on an assemblage of standards, protocols, and functions.
A Semanticized Web
Google Knowledge Graph
Text+ technology mashups
Text analytics generates semantics to bridge search, BI, and applications, enabling next-generation information systems.
Search BI
Applica-tions
Search based applications (search + text + apps)
Information access (search + text + BI)
Integrated analytics (text + BI)
Text analytics (inner circle)
Semantic search (search + text)
NextGen CRM, EFM, MR, marketing, …
Milestones [and goal(s)?] re-viewed
✔ Language+ understanding.~ Text, speech, and video.✖ Narrative, discourse, and argument.
✔ Information extraction.
✔ Knowledge structuring and integration.
? Inference; synthesis.
~ Language generation.
Conversation; interaction; autonomy.
≈> Convergence, a.k.a. Singularity
http://timoelliott.com/blog/2010/10/sap-businessobjects-augmented-explorer-now-available-resources-to-test-it.html
Personal. Mobile. Intelligent?
Text tech initiatives (2011 2012)
Now and near future.• Beyond-polarity sentiment analysis.
Emotions, intent signals. etc.• Identity resolution & profile extraction.
Online-social-enterprise data integration.• Semantic data integration, Complex Data. • Speech analytics.• Discourse analysis.
Because isolated messages are not conversations.
• Rich-media content analytics.• Augmented reality; new human-computer interfaces.
A focus on information & applications
Now and near future.• Signal detection.
Sentiment, emotion, identity, intent.• Semanticized applications.
Linkable, mashable, enrichable.• Rich information.
Context sensitive, situational.
Σ = Sense-making...
… but there’s work to do:
Overall experience / satisfaction
Ability to solve business problems
Solution / technology ease of useSolution / technology performance
Availability of professional services / support
0%
50%
100%
Experience/satisfaction sentiment polarity
Positive
Neutral
Negative
Text Analytics From Sources to Signals to Sense
Seth Grimes@sethgrimes
Next year’s talk? --