sa discover text webinar
DESCRIPTION
TRANSCRIPT
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Unlock the Power of Text: New Analysis Options via DiscoverTextA presentation byDr. Stu ShulmanTexifter, LLC
and
Esther LaVielle from Survey Analytics
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What We’ll Cover
ABOUT The Presenters Hot Trend: DIY Text Analysis 5 Steps: Getting
Started with Text Analysis DiscoverText –
Simple Tools To Uncovering The Power of Words
Example Included Q&A / Conclusion
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About Survey Analytics
• Started back in 2002 in Seattle, WA • #172 out of 500 fastest growing private
companies • 6,000 + clients & growing
• SurveyAnalytics, QuestionPro, IdeaScale, MicroPoll, SurveySwipe, SurveyPocket, BadgeFarm
• Esther LaVielle: Chief Education Director
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Stuart Shulman is: – Assistant professor of political science at
the University of Massachusetts Amherst– Founder & CEO, Texifter, LLC– Founder & Director, QDAP-UMass– Editor-in-Chief, Journal of Information
Technology & Politics.Fun fact: Stu is garlic growing enthusiast with a popular YouTube channel on growing garlic!
About Dr. Stu Shulman
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• 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.
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HOT TRENDS: DIY TEXT
ANALYTICS
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Hot Trends: DIY Text Analysis
http://blogs.forrester.com/leslie_owens/10-12-20-text_analytics_a_key_trend_to_watch_over_the_next_three_years
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.
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• 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
Hot Trend: DIY Text Analysis
Code & analyze unstructured text data from:
- Surveys- Social network sites or Twitter- Blogs- Anywhere really!
Pros:-Cut down the costs of coding-Control your dataCons:Which one to choose?What is the learning curve?
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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.
5 Steps: Getting Started with Text Analysis
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Unify Your Data
Files Web
Import & archive data from multiple sources into a single, searchable, unified repository
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SurveyAnalytics & DiscoverText
SurveyAnalytics is compatible with DiscoverText softwareExport an XML report & Login to http://discovertext.com/ to get started!
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Login to DiscoverText
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The DiscoverText Dashboard
From the DiscoverText dashboard, create a new project or work on an existing one
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Select the “Import Data” option from the Manage Project screen or Archives Screen
Your DiscoverText Project
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Select the “Survey Analytics Export” file type
Select Your File Type
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Select your data file and click “Upload”
Upload Your XML Export Data
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View Archive Details
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Browse and Search to Create Buckets
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Import Other Data Via Live Feeds
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Import Facebook Page Content
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Schedule Day-Forward Imports
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Generate Tag Clouds from Keywords
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Cluster Documents
Duplicate & near duplicate
detection
Dynamic user-seeded tag clouds
Adaptable, intuitive and
reusable topic models &
shared memos
Sentiment detection,
redaction & seamless
adjudication
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Find and Add PeersSecurely segment your peers into project groups by
agency, firm, department, location, or affiliation,while controlling their access via credentials
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Code Datasets
Annotation enhances your analysis by applying human interpretation to machine results
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Explore Crowdsourcing
- MIT professor Eric von Hippel, specialist in innovation management“This is really the biggest paradigm shift in innovation since the Industrial Revolution”
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Add Bookmarks
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Generate Reports
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• 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!
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Q & A Session and Conclusion
Esther [email protected]://www.surveyanalytics.comblog.surveyanalytics.com
Dr. Stuart W. ShulmanFounder & CEOTexifter, LLChttp://[email protected]