CAQDAS 2014 Pecha Kucha - Stuart Shulman
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CAT & DiscoverText have helped qualitative methodology by providing free and open source software options as well as web-based collaborative tools. They have also contributed innovations in measurement, free and premium social data collection methods, advanced search and filtering capabilities, clustering algorithms, and custom machine learning classifiers. Stuart Shulman founded Texifter to develop these types of tools to enhance qualitative analysis through features like word sense disambiguation and CoderRank for improved machine learning over time through iterative human coding.
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CAQDAS 2014 Pecha Kucha - Stuart Shulman
- 1. What have CAT & DiscoverText done for qualitative methodology? Stuart Shulman, Texifter 2014 Conference: Past, Present and Future 25 years of CAQDAS
- 2. Stuart Shulman – Texifter Pronounced “Tech-Sifter”
- 3. Stuart Shulman – Texifter Circa 1999
- 4. Stuart Shulman – Texifter May 2001 Council for Excellence in Government June 2002 National Defense University
- 5. Computer Science & NSF Influences: Measure Everything! Stuart Shulman – Texifter How fast? How reliable? How accurate?
- 6. Stuart Shulman – Texifter
- 7. Stuart Shulman – Texifter
- 8. Stuart Shulman – Texifter Inter-Rater Reliability is Key Understanding the landscape of human interpretation better prepares us to face the challenge of machine classification
- 9. Stuart Shulman – Texifter Adjudicate Boundary Cases
- 10. Stuart Shulman – Texifter “CoderRank for Enhanced Machine Learning” is Patent Pending
- 11. Stuart Shulman – Texifter
- 12. Stuart Shulman – Texifter
- 13. Stuart Shulman – Texifter Labeling, Tagging, or Annotation Improves Machine Learning Over Time
- 14. Stuart Shulman – Texifter Iterate Human Coding & Machine-Learning
- 15. Stuart Shulman – Texifter Word Sense Disambiguation (Relevance)
- 16. Stuart Shulman – Texifter
- 17. Stuart Shulman – Texifter
- 18. Stuart Shulman – Texifter Naturally Occurring Clusters of Free Text Can Be Discovered Automatically
- 19. Stuart Shulman – Texifter Purist A Spectrum of Methods Approaches deep immersion closeness to data antipathy to numbers credible interpretation in-depth analysis contextual subjective experimental mixed method adaptive hybrid flexible approach interdisciplinary quantitative focus on error measurement critical validity and reliability replication & objectivity generalization hypotheses PositivistPluralist
- 20. • Free and open source software options • Web-based (crowd source) collaborative tools • Measurement innovation • Free and premium social data collection • Random sampling and keystroke coding • Advanced search and filtering • Deduplication and clustering algorithms • Custom machine learning classifiers • Word sense disambiguation • CoderRank for enhanced machine learning Stuart Shulman – Texifter What have CAT & DiscoverText done for qualitative methodology?
- 21. Stuart Shulman – Texifter Dr. Stuart W. Shulman Founder & CEO, Texifter, LLC Research Associate Professor, UMass Amherst Director, Qualitative Data Analysis Program (QDAP) Editor Emeritus, Journal of Information Technology & Politics Contact Information stu@texifter.com http://people.umass.edu/stu/ @stuartwshulman Thanks for Listening!