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The Text Analytics Markets

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Custom publishing. Text mining and extraction. Spam filtering. Voice recognition ... Custom publishing. nStein et al. Lots of partnerships. Six trends that ... – PowerPoint PPT presentation

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Title: The Text Analytics Markets


1
The Text Analytics Market(s) Competitive
landscape and trends by Curt A. Monash,
Ph.D. President, Monash Research Editor, Text
Technologies contact_at_monash.com http//www.monash.
com http//www.texttechnologies.com
2
8 linguistics-based businesses
  • Web search
  • Public-facing site search
  • Enterprise search knowledge management
  • Custom publishing
  • Text mining and extraction
  • Spam filtering
  • Voice recognition
  • Machine translation

3
Web search
  • Giant oligopoly
  • It's a huge business
  • It's consolidating down to two vendors that
    matter
  • If anybody but Google matters at all
  • Startups aren't gaining traction
  • Three kinds of search
  • Navigational
  • Informational
  • Transactional

4
Web search vendor issues today
  • Physical efficiency
  • Adversarial information retrieval
  • Monetization
  • Regulation
  • Branding

5
Future web search issues
  • Better popularity metrics
  • Better use of context
  • Geography!!
  • Sub-page retrieval
  • Looking through security barriers
  • Better UIs

6
Public-facing site search
  • It has dual goals
  • What the user actually wants
  • What you want the user to see
  • E-commerce and general search are separate
    businesses
  • E-commerce province of smaller vendors
  • General province of search, portal, or CMS
    vendors
  • Hand-tagging is key

7
Enterprise search KM (inward-facing)
  • For decades there was only one kind of text
    analytics …
  • … but that was asking too much of one technology
  • Now enterprise search is more circumscribed …
  • … but things are still convoluted
  • Complex needs
  • Multiple kinds of search
  • Unique technical challenges
  • Multiple purchase drivers
  • Confused market
  • One-size-fits-all strategy
  • Users want portal integration
  • Investment is fragmented

8
Kinds of enterprise search
  • Find a specific document
  • Find an answer
  • Find ALL documents
  • Find an expert

9
Technical challenges in enterprise search
  • Documents may not exist
  • Many formats
  • Corpus weighting
  • No good popularity metrics
  • Security
  • Ease of adoption!!!

10
Many reasons to buy enterprise search
  • General productivity
  • Sure beats looking through file cabinets
  • Wouldn't it be nice if ...
  • KM dreams
  • Compliance
  • Thou shalt …
  • Not all the reasons are good

11
One-size-fits-all didn't work
  • Overreaching had a lot to do with that
  • E-commerce search isn't general search
  • Text mining isn't search (or clustering)
  • Custom publishing isn't exactly search

12
Custom publishing
  • More precise than search
  • Sophisticated extraction
  • Focus on document parts
  • Started with technical publishers (and
    intelligence)
  • Expanded to
  • Other technical documents
  • Other publishers
  • Players
  • Mark Logic
  • Various text miners
  • Various search vendors

13
Bollixed enterprise search market landscape
  • Multiple generations of vendors flamed out
  • Verity
  • Excalibur (endlessly backed by Allen Company)
  • Fulcrum et al.
  • FAST
  • Google has brand name, ease of installation
  • Microsoft, Oracle, SAP, and Autonomy are all
    confused
  • Products are sold for inappropriate apps
  • Compliance is driving demand
  • Small vendors are ... small

14
Text mining
  • Really about sophisticated extraction
  • Apps and verticals mirror data mining
  • The action is in sentiment analysis ...
  • ... and ease of use
  • Otherwise the industry seems tired

15
The original text mining apps Early warning
  • Source July, 2006 post on Text Technologies
  • Vehicle safety
  • Other manufacturing/warranty analysis apps
  • Reputation management
  • Other customer sentiment apps
  • Anti-terrorism
  • Sarbanes-Oxley compliance
  • (continued …)

16
More early warning
  • (… continued)
  • Antifraud
  • Stopping money laundering
  • Clinical applications (some)
  • Early insurance risk management apps
  • Early experimental hedge fund apps
  • Employee (dis)satisfaction (missing from the
    original list)

17
Customer/market intelligence
  • Now drive text mining growth
  • Internal Voice of the Customer came first
  • Voice of the Market has blended in
  • Sales, buying, and delivery practices are in line
  • Departmental buying
  • SaaS delivery
  • Many vendors focus(ing) on this segment
  • Attensity
  • Clarabridge
  • SAS
  • SPSS
  • Expert System S.p.A

18
Three ways to use text mining
  • Business intelligence
  • Reports, dashboards
  • Attensity, Clarabridge
  • Predictive analytics
  • Data mining
  • SAS, SPSS
  • Custom publishing
  • nStein et al.
  • Lots of partnerships

19
Six trends that could shake up the market
  • Web/enterprise/messaging integration
  • BI integration
  • Universal message retention
  • Portable personal profiles
  • Electronic health records
  • Voice command control

20
Further information Curt A. Monash,
Ph.D. President, Monash Research Editor, Text
Technologies contact_at_monash.com http//www.monash
.com http//www.texttechnologies.com
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