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Pattern Discovery in the Social Web with Artificial Intelligence

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Pattern Discovery in the Social Web with Artificial Intelligence
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  1. Beskrivelse

    A vast amount of textual web streams is influenced by events or phenomena emerging in the real world. The Social Web forms an excellent modern paradigm, where unstructured user generated content is published on a regular basis and in most occasions is freely distributed. The present book deals with the problem of inferring information - or patterns in general - about events emerging in real life based on the contents of this textual stream. We show that it is possible to extract valuable information about social phenomena, such as an epidemic or even rainfall rates, by automatic analysis of the content published in Social Media, and in particular Twitter, using Statistical Machine Learning methods. By examining further this rich data set, we also propose methods for extracting various types of mood signals revealing how affective norms evolve during the day and how significant events emerging in the real world are influencing them. Lastly, we present some preliminary findings showing several spatiotemporal characteristics of this textual information as well as the potential of using it to tackle tasks such as the prediction of voting intentions.

  2. Yderligere info
    Udgivelsesdato:
    01-08-2012
    Sprog:
    Engelsk
    ISBN13:
    9783659168642
    Sidetal:
    220
    Vægt:
    331 g
    Dybde:
    13 mm
    Bredde:
    152 mm
    Højde:
    229 mm
    Mærkat:
    Bog, hæftet
    Format:
    Hæftet
  3. Anmeldelser

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