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