discovertext product overview
DESCRIPTION
An overview of the 21 key features that define the DiscoverText software platform.TRANSCRIPT
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Sunday, August 12, 2012
from
An Introduction to Texifter Tools and Methods
* Pronunciation Guide: [tech-sifter]
*
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We Help Organizations
Capture, Filter, Search, Classify, AnalyzeLarge 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
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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
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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
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The Future of Analysis
Machine learning tools combine…
what humans do best with what computers do best
“Humans and machines learning together”
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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
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Feature #1: Archives
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Feature #2: TopMetaFilter your information by key attributes including location, department, source, and more.
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Feature #3: Cloud Explorer
Helps discover topics about customers, products, and service.
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Feature #4: Advanced Filters
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Feature #5: Search
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Feature #6: Buckets
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Feature #7: Datasets
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Feature #8: Peers
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Feature #9: Coding
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Feature #10: Reliability Measurement
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Feature #11: Validation
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Feature #12: ActiveLearningAnalyze sentiment, mood, or custom classifications trained on your specific data.
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Feature #13: Interactive Histograms
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Feature #14: Duplicate Detection
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Feature #15: Near-Duplicate Clustering
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Feature #16: Auto-Highlighting Edits
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Feature #17: Annotation
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Feature #18: The FOIA Toolkit
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Feature #19: Dataset Exports
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Feature #20: Reporting
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Feature #21: The API
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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 & Politics413-230-1255 [email protected]://people.umass.edu/stu@stuartwshulman | @texifter | @discovertext | @qdap