1. from *
An Introduction to Texifter Tools and Methods
* Pronunciation Guide: [tech-sifter]
Sunday, August 12, 2012

2. We Help Organizations
Capture, Filter, Search, Classify, Analyze
Large numbers of unstructured & structured texts
Our 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. 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. 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. The Future of Analysis
Machine learning tools combine…
what humans do best with what computers do best
“Humans and machines learning together”

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. Feature #1: Archives

8. Feature #2: TopMeta
Filter your information by key
attributes including location,
department, source, and more.

9. Feature #3: Cloud Explorer
Helps discover topics about
customers, products, and service.

10. Feature #4: Advanced Filters

11. Feature #5: Search

12. Feature #6: Buckets

13. Feature #7: Datasets

14. Feature #8: Peers

15. Feature #9: Coding

16. Feature #10: Reliability Measurement

17. Feature #11: Validation

18. Feature #12: ActiveLearning
Analyze sentiment, mood, or
custom classifications trained
on your specific data.

19. Feature #13: Interactive Histograms

20. Feature #14: Duplicate Detection

21. Feature #15: Near-Duplicate Clustering

22. Feature #16: Auto-Highlighting Edits

23. Feature #17: Annotation

24. Feature #18: The FOIA Toolkit

25. Feature #19: Dataset Exports

26. Feature #20: Reporting

27. Feature #21: The API

28. Dr. Stuart W. Shulman
Founder & CEO, Texifter, LLC
Director, Qualitative Data Analysis Program (QDAP)
Associate Director, National Center for Digital Government
University of Massachusetts Amherst
Editor Emeritus, Journal of Information Technology & Politics
413-230-1255
stu@texifter.com
http://people.umass.edu/stu
@stuartwshulman | @texifter | @discovertext | @qdap