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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Analyzing the Digital Talk | Visual Tools for Exploring
Global Communication Flows
Prof. Arno Scharl, Department of New Media Technology
www.modul.ac.at/nmt ∏ www.weblyzard.com
October 2016

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
TIME SERIES
STRUCTURED
TEXT, IMAGES
UNSTRUCTURED
BIG DATA

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
„… has led to wild claims on both sides of the divide.“

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
SUSTAINABILITY
UNEP Live Web Intelligence
POLITICS
US Election 2016 Web Monitor
MARKETING
WYSDOM Success Metric
GLOBAL COMMUNICATION FLOWS

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
UNEP Live Web
Intelligence
unep.ecoresearch.net
Developed by the Department of New Media Technology of
MODUL University Vienna and powered by webLyzard technology
www.weblyzard.com/unep-live ▪ uneplive.unep.org

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
WEB INTELLIGENCE WORKFLOW
1. Gather Real-Time Content Streams
2. Filter Content to Ensure its Relevance
3. Enrich & Contextualize Documents
 Summarize and Assign Keywords
 Determine Positive vs. Negative Sentiment
 Add Location Data – “Geo-Tagging”
 Identify Persons & Organizations – “Named Entities“
 Evaluate the Veracity of User-Generated Content
4. Dashboard to Visualize Patterns & Trends

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Concordance List - Lexical Context

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Word Tree - Lexical Context

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Keyword Graph – Social Perceptions

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Top Sources – Topic: “Biodiversity”

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Editorial Stance – Frequency vs. Sentiment

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Movers & Shakers – Opinion Holders vs. Targets

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
US Election 2016
Web Monitor
us2016.weblyzard.com
Developed at the Department of New Media Technology of
MODUL University Vienna; powered by webLyzard technology
www.weblyzard.com/us-election-2016-web-monitor

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
News Media
30-Day Average

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Twitter

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Cluster Map
Story Detection

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
Story Detection
Timeline

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
WYSDOM Success Metric – Sentiment Trends
webLyzard Stakeholder Dialog & Opinion Model
www.weblyzard.com/wysdom

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
WYSDOM Success Metric – Desired & Undesired Topics
webLyzard Stakeholder Dialog & Opinion Model
www.weblyzard.com/wysdom

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
WYSDOM Success Metric – Web Site Visitors
Page Views, Visits (Google Analytics)
webLyzard Stakeholder Dialog & Opinion Model
www.weblyzard.com/wysdom

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MODUL University Vienna, Department of New Media Technology www.modul.ac.at/nmt ▪ www.weblyzard.com
@webLyzard
SUSTAINABILITY | unep.ecoresearch.net
UNEP Live Web Intelligence
POLITICS | us2016.weblyzard.com
US Election 2016 Web Monitor
MARKETING | www.weblyzard.com/wysdom
WYSDOM Success Metric