Detecting Emerging Stories & Emotions in the Public Debate

Research Seminar - Prof. Arno Scharl of MODUL University Vienna's Department of New Media Technology presents emotion detection algorithms developed in the ReTV Project as well as visual analytics features of the Evolve H2020 Big Data Innovation Action - including Web Intelligence applications in health, sustainability and politics.

Transcript

1. Detecting
   Emerging Stories
   & Emotions in the
   Public Debate
   Web Intelligence Applications in Health,
   Sustainability and Politics
   Arno Scharl, scharl@modul.ac.at
   www.modul.ac.at/nmt
   

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3. Sentiment
   Share of Voice Brand Reputation
   Measuring Impact and Social Perceptions
   Success Metrics
   WYSDOM
   Success Metric
   Wheel of Emotions
   

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4. US Election 2020
   Web Monitor
   us2020.weblyzard.com
   Developed at the Department of New Media Technology of
   MODUL University Vienna; powered by webLyzard technology
   www.weblyzard.com/us-election-2020-web-monitor
   

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9. Sentiment
   Share of Voice Brand Reputation
   Measuring Impact and Social Perceptions
   Success Metrics
   WYSDOM
   Success Metric
   Wheel of Emotions
   

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10. Wheel of Emotion
    Robert Plutchik
    

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14. ReTV | www.weblyzard.com/retv
    Enhancing and Repurposing TV Content
    Media Partners: rbb|24, Zattoo, Sound & Vision
    EU Horizon 2020, 3.5 Mio EUR
    SONAR | www.weblyzard.com/sonar
    Semantic Repository for News Analytics
    Media Partner: ProSiebenSat.1 PULS 4
    Google News Initiative, 225,000 EUR
    EVOLVE | www.weblyzard.com/evolve
    Leading the Big Data Revolution
    19 European Technology & Use Case Partners
    EU Horizon 2020, 11.0 Mio EUR
    

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15. 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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18. EcoMove | www.weblyzard.com/ecomove
    Predicting Mobility Bottlenecks
    Partners: webLyzard technology, MODUL University
    Vienna, Unwired Networks, NAST Consulting
    FFG Mobility of the Future
    EcoMove will develop knowledge-based solutions for efficient
    and environmentally sustainable movement in cities, providing
    customized information about available mobility options. Real-
    time recommendations for delaying, avoiding or taking
    alternative options will be presented visually to the users – city
    residents, visitors, and professional stakeholders – in order to
    prioritize “necessary” mobility.
    The City of Vienna will serve as the use case, but the developed
    methods will be generic and applicable to other cities and
    regions in follow-up projects.
    @weblyzard
    @moduluniversity
    scharl@modul.ac.at
    

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20. Detecting
    Emerging Stories
    & Emotions in the
    Public Debate
    Web Intelligence Applications in Health,
    Sustainability and Politics
    Arno Scharl, scharl@modul.ac.at
    www.modul.ac.at/nmt
    

    View Slide