1. Unlock the Power of Text: New Analysis Options via DiscoverText A presentation by Dr. Stu Shulman Texifter, LLC and Esther LaViellefrom Survey Analytics

3. Hot Trend: DIY Text Analysis

4. 5 Steps: Getting Started with Text Analysis

5. DiscoverText – Simple Tools To Uncovering The Power of Words

6. Example Included

8. SurveyAnalytics, QuestionPro, IdeaScale, MicroPoll, SurveySwipe, SurveyPocket, BadgeFarm

10. Texifter products help index, search, filter and classify large amounts of text. Market research, eDiscovery & extraction of key insights Large & diverse enterprise data sets Social media search and archival services Peer group and crowd sourced collaboration Credential-based, cross-organizational work groups DiscoverText: http://discovertext.com About Texifter, LLC.

11. HOT TRENDS: DIY TEXT ANALYTICS

12. Hot Trends: DIY Text Analysis Forrester Research named text analytic technologies one of top 15 trends to watch the next 3 years! Used to: Mine, interpret & structure information to reveal hidden patterns & relationships. Reveal the voice of customers, conduct competitive intelligence, make operations improvements, & achieve better compliance or law enforcement. Techniques: Analytics and search: Analytics tools surface and visualize patterns Analytics and information retrieval: Content professionals use text analytic tools to identify duplicate, near-duplicate, similar or irrelevant content Social network analysis: focused on identifying and forecasting connections, relationships, and influence among individuals and groups. http://blogs.forrester.com/leslie_owens/10-12-20-text_analytics_a_key_trend_to_watch_over_the_next_three_years

13. Hot Trend: DIY Text Analysis Identify & categorize high-frequency words, themes or concepts Review recurring phrases & associations of words (build topic models) Present open-ended text findings via charts or tag clouds Code & analyze unstructured text data from: - Surveys - Social network sites or Twitter - Blogs - Anywhere really! Pros: -Cut down the costs of coding -Control your data Cons: Which one to choose? What is the learning curve?

14. 5 Steps: Getting Started with Text Analysis 1) Clean and organize the data (format, edit, spelling, etc.) 2) Translate survey data to uniform language (if needed) 3) Segment it by metadata properties and categories 4) Label & bookmark interesting items 5) Look for obvious patterns, for example frequency counts, tag clouds, repetition, idiosyncratic ideas, punctuation or grammar used for emphases.

16. Unify Your Data Import & archive data from multiple sources into a single, searchable, unified repository

17. SurveyAnalytics & DiscoverText SurveyAnalytics is compatible with DiscoverText software Export an XML report & Login to http://discovertext.com/ to get started!

18. Login to DiscoverText

19. The DiscoverText Dashboard From the DiscoverText dashboard, create a new project or work on an existing one

20. Select the “Import Data” option from the Manage Project screen or Archives Screen Your DiscoverText Project

21. Select the “Survey Analytics Export” file type Select Your File Type

22. Select your data file and click “Upload” Upload Your XML Export Data

23. View Archive Details

24. Browse and Search to Create Buckets

25. Import Other Data Via Live Feeds

26. Import Facebook Page Content

27. Schedule Day-Forward Imports

28. Generate Tag Clouds from Keywords

29. Cluster Documents

30. Find and Add Peers Securely segment your peers into project groups by agency, firm, department, location, or affiliation, while controlling their access via credentials

31. Code Datasets Annotation enhances your analysis by applying human interpretation to machine results

32. Explore Crowdsourcing “This is really the biggest paradigm shift in innovation since the Industrial Revolution” - MIT professor Eric von Hippel, specialist in innovation management

33. Add Bookmarks

34. Generate Reports

35. Q1, 2011 Sentiment Analysis Computer-assisted labeling of positive and negative sentiments in comments Topic Clustering Computer-assisted tagging and labeling of topics for comments and clustering Q2, 2011 Active Learning Our algorithms learn from your input! Over time, our natural language processing tools (such as sentiment and topic analysis) will get better with accumulated user feedback Coming Soon!

36. Q & A Session and Conclusion Esther LaVielle Esther.rmah@surveyanalytics.com http://www.surveyanalytics.com blog.surveyanalytics.com Dr. Stuart W. ShulmanFounder & CEOTexifter, LLC http://discovertext.comstu@texifter.com