Affective Text Variation and Animation for Dynamic Advertisement

  • Carlo Strapparava
  • Alessandro Valitutti
  • Oliviero Stock
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4738)


The largest part of the advertising market is already electronic. This means there is an opportunity for automatizing some of the production processes, such as producing and rendering catchy language expressions. A system is described that produces creative, affective variations of familiar textual expressions and animates them according to the affective contents. The textual variations are based on lexical semantics techniques such as an algorithm that looks for affective similarity, and on concepts such as optimal innovation, realized through assonant substitutions. Animation results from the realization of a scripting language for kinetic typography. The combination of affective variation and automatic affective perceptual rendering of key elements in the resulting expression is meant to guarantee effectiveness in advertising communication.


Semantic Similarity Latent Semantic Analysis Emotional Category Advertising Message Optimal Innovation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Carlo Strapparava
    • 1
  • Alessandro Valitutti
    • 1
  • Oliviero Stock
    • 1
  1. 1.FBK-irst, I-38050, Povo, TrentoItaly

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