VORTRAG: UNIV.-PROF. DDR. ARNO SCHARL – MODUL UNIVERSITÄT WIEN

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AI-powered knowledge extraction methods support the entire
digital content value chain, from the data-driven production
to the distribution, promotion and analysis of content assets.

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4. 4 Content Optimization – GENTIO Project (FFG)
Maximize the impact of campaigns
and online communication
storypact.com
Visual Site Search – CRT Project (NOAA)
Make the own digital content more accessible
with semantic site search features
weblyzard.com/climate-resilience-toolkit

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Story Detection | Success Metrics
New methods to identify emerging stories
and track perceptions across media channels
Weichselbraun, A., Steixner, J., Braşoveanu, A., Scharl, A., Göbel, M., and
Nixon, L. (2021). “Automatic Expansion of Domain-Specific Affective Models
for Web Intelligence Applications”, Cognitive Computation, 13:
doi.org/10.1007/s12559-021-09839-4.

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Sentiment
Share of Voice Brand Reputation
Success Metrics – Beyond Sentiment
Reference Project
WYSDOM
Success Metric
Wheel of Emotions

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Wheel of Emotion
Robert Plutchik

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Story Detection | Success Metrics
Novel methods to identify emerging stories
and track perceptions across media channels
Event and Topic Prediction
Anticipate future trends to optimize campaigns
and identify publication opportunities

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Semantic Data Integration
Better understand not only real-world processes
(environmental risks, events, consumer decisions,
etc.), but also what drives the public debate
discussing these processes

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UNEP Live Web
Intelligence
unep.ecoresearch.net
Developed by the Department of New Media Technology of
MODUL University Vienna; powered by webLyzard technology
www.weblyzard.com/unep-live ▪ unep.ecoresearch.net

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