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The Future of Text AnalysisDr. Stuart ShulmanTexifter, LLC<br />Wednesday, June 15, 2011<br />
Briefing Agenda<br />R&D in Annotation and Public Comments<br />“The Future of Text Analysis” – The vision<br />“What is D...
Dr. Stuart W. Shulman<br />Founder & CEO, Texifter, LLCAssistant Professor, Department of Political ScienceUniversity of M...
The Future of Projects<br />Projects leverage users’ credentials to control access to documents, tools, and resources<br /...
The Future of Documents<br />Import & archive data from multiple sources into a single, searchable, unified repository<br />
The Future of Search<br />eDiscovery will search, merge, filter & classifyunlimited amounts of text and other data<br />
Well Worth Reading<br />
The Future of Tools<br />Text processing tools will enable quicker processing and more accurate results <br />
The Future of Peer Relations<br />Utilize trusted peers to scale your knowledge resources, increase productivity & lower t...
Peers Groups<br />Securely segment your peers into project groups by agency, firm, department, location, or affiliation,<b...
Security & Credentials<br />Data will be encrypted, secure and accessible by only peers who are granted specific permissio...
Coding, Tagging or Labeling<br />Annotation enhances your analysis by applying human interpretation to machine results<br />
Coding in Flexible Teams<br />
Crowdsourcing<br />Crowdsourcing will bring widely distributed<br />wisdom to process of text analysis<br />“This is reall...
Active Machine Learning<br />By utilizing information and decisions previously captured, we can enhance future machine-bas...
What is DiscoverText?<br />DiscoverText is a:<br />personal or organizational  archive in the cloud<br />search engine for...
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
Future of text analysis   forrester briefing
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Future of text analysis forrester briefing

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A fall 2011 briefing for personnel at Forrester in Cambridge MA.

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Future of text analysis forrester briefing

  1. 1. The Future of Text AnalysisDr. Stuart ShulmanTexifter, LLC<br />Wednesday, June 15, 2011<br />
  2. 2. Briefing Agenda<br />R&D in Annotation and Public Comments<br />“The Future of Text Analysis” – The vision<br />“What is DiscoverText?” – The software<br /> The Features – The basics<br />Capturing social media importing other text<br />Creating archives, buckets and datasets<br />Coding a dataset or training a classifier<br />
  3. 3. Dr. Stuart W. Shulman<br />Founder & CEO, Texifter, LLCAssistant Professor, Department of Political ScienceUniversity of Massachusetts Amherst<br />Director, Qualitative Data Analysis Program (QDAP)Associate Director, National Center for Digital Government<br />Editor, Journal of Information Technology & Politics<br />413-545-5375 stu@polsci.umass.eduhttp://people.umass.edu/stu/<br />
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  7. 7. The Future of Projects<br />Projects leverage users’ credentials to control access to documents, tools, and resources<br />Major Project Components<br />Credentials<br />Documents<br />Peers<br />Advanced ‘Social’ Search<br />Metadata<br />Networks<br />Filtering<br />Tools for Tagging<br />Shared Analysis<br />Qualitative & Quantitative Findings<br />
  8. 8. The Future of Documents<br />Import & archive data from multiple sources into a single, searchable, unified repository<br />
  9. 9. The Future of Search<br />eDiscovery will search, merge, filter & classifyunlimited amounts of text and other data<br />
  10. 10. Well Worth Reading<br />
  11. 11. The Future of Tools<br />Text processing tools will enable quicker processing and more accurate results <br />
  12. 12. The Future of Peer Relations<br />Utilize trusted peers to scale your knowledge resources, increase productivity & lower total project costs<br />
  13. 13. Peers Groups<br />Securely segment your peers into project groups by agency, firm, department, location, or affiliation,<br />while controlling their access via credentials<br />
  14. 14. Security & Credentials<br />Data will be encrypted, secure and accessible by only peers who are granted specific permissions via their credentials<br />
  15. 15. Coding, Tagging or Labeling<br />Annotation enhances your analysis by applying human interpretation to machine results<br />
  16. 16. Coding in Flexible Teams<br />
  17. 17. Crowdsourcing<br />Crowdsourcing will bring widely distributed<br />wisdom to process of text analysis<br />“This is really the biggest paradigm shift in innovation since the Industrial Revolution”<br />- MIT professor Eric von Hippel, specialist in innovation management<br />
  18. 18. Active Machine Learning<br />By utilizing information and decisions previously captured, we can enhance future machine-based decisions<br />Active <br />Learning<br />Loop<br />
  19. 19. What is DiscoverText?<br />DiscoverText is a:<br />personal or organizational archive in the cloud<br />search engine for eDiscovery <br />social media comment aggregator<br />de-duplication and near duplicate clustering engine<br />FOIA redaction toolkit<br />coding, reporting and validation team workbench<br />repository of human annotation (text about text), and<br />customizable machine-learning classifier <br />(beta launched April 2011)<br />

A fall 2011 briefing for personnel at Forrester in Cambridge MA.

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