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DiscoverText Product Overview

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An overview of the 21 key features that define the DiscoverText software platform.

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DiscoverText Product Overview

  1. 1. from *An Introduction to Texifter Tools and Methods * Pronunciation Guide: [tech-sifter] Sunday, August 12, 2012
  2. 2. We Help OrganizationsCapture, Filter, Search, Classify, Analyze Large numbers of unstructured & structured textsOur solution helps users easily discover information to: • streamline business processes • increase ROI & create new business opportunities • identify positive and negative trends • discover unique, rare or unexpected information import discover analyze
  3. 3. Tools Built for Insight• DiscoverText is a customizable cloud-based solution• Moves users from big text data to intelligent insights• Humans and machines learning together• Not a static or shallow solution; rooted in academic research• Collaborate with peers to maximize productivity
  4. 4. How Do These Tools Help Analysts?• Provide a secure & collaborative platform for engagement• Better visual displays & representations classified text• Machine-assisted qualitative methodologies• Unwrap difficult concepts often difficult to identify manually• Mix best of human judgment and computer algorithms
  5. 5. The Future of Analysis Machine learning tools combine…what humans do best with what computers do best“Humans and machines learning together”
  6. 6. What This Means for Analysis• Better organize and access text• Directly interact with real-time data• Reduce cost & time to valid insights• Leverage both qualitative data and quantitative data• Reduce time devoted to tedious human processes• Unwrap hidden and unexpected concepts
  7. 7. Feature #1: Archives
  8. 8. Feature #2: TopMeta Filter your information by key attributes including location, department, source, and more.
  9. 9. Feature #3: Cloud Explorer Helps discover topics about customers, products, and service.
  10. 10. Feature #4: Advanced Filters
  11. 11. Feature #5: Search
  12. 12. Feature #6: Buckets
  13. 13. Feature #7: Datasets
  14. 14. Feature #8: Peers
  15. 15. Feature #9: Coding
  16. 16. Feature #10: Reliability Measurement
  17. 17. Feature #11: Validation
  18. 18. Feature #12: ActiveLearning Analyze sentiment, mood, or custom classifications trained on your specific data.
  19. 19. Feature #13: Interactive Histograms
  20. 20. Feature #14: Duplicate Detection
  21. 21. Feature #15: Near-Duplicate Clustering
  22. 22. Feature #16: Auto-Highlighting Edits
  23. 23. Feature #17: Annotation
  24. 24. Feature #18: The FOIA Toolkit
  25. 25. Feature #19: Dataset Exports
  26. 26. Feature #20: Reporting
  27. 27. Feature #21: The API
  28. 28. Dr. Stuart W. ShulmanFounder & CEO, Texifter, LLCDirector, Qualitative Data Analysis Program (QDAP)Associate Director, National Center for Digital GovernmentUniversity of Massachusetts AmherstEditor Emeritus, Journal of Information Technology & Politics413-230-1255stu@texifter.comhttp://people.umass.edu/stu@stuartwshulman | @texifter | @discovertext | @qdap

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