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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)

Abstract

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.

Keywords

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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References

  1. 1.
    Giora, R.: On Our Mind: Salience, Context and Figurative Language. Oxford University Press, New York (2003)Google Scholar
  2. 2.
    Pricken, M.: Creative Advertising. Thames & Hudson (2002)Google Scholar
  3. 3.
    Stock, O., Strapparava, C.: Getting serious about the development of computational humour. In: Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico (August 2003)Google Scholar
  4. 4.
    Strapparava, C., Valitutti, A., Stock, O.: The affective weight of lexicon. In: Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC 2006), Genoa, Italy (May 2006)Google Scholar
  5. 5.
    Ortony, A., Clore, G.L., Foss, M.A.: The psychological foundations of the affective lexicon. Journal of Personality and Social Psychology 53, 751–766 (1987)CrossRefGoogle Scholar
  6. 6.
    Fellbaum, C.: WordNet. An Electronic Lexical Database. The MIT Press, Cambridge (1998)zbMATHGoogle Scholar
  7. 7.
    Magnini, B., Cavaglià, G.: Integrating subject field codes into wordnet. In: Proc. of the 2nd International Conference on Language Resources and Evaluation (LREC 2000), Athens, Greece (2000)Google Scholar
  8. 8.
    Strapparava, C., Valitutti, A.: WordNet-Affect: an affective extension of WordNet. In: Proc. of 4th International Conference on Language Resources and Evaluation (LREC 2004), Lisbon (May 2004)Google Scholar
  9. 9.
    Turney, P., Littman, M.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS) 21(4), 315–346 (2003)CrossRefGoogle Scholar
  10. 10.
    Liu, H., Lieberman, H., Selker, T.: A model of textual affect sensing using real-world knowledge. In: Proc. of the Seventh International Conference on Intelligent User Interfaces (IUI 2003), Miami (2003)Google Scholar
  11. 11.
    Mihalcea, R., Liu, H.: A corpus-based approach to finding happiness. In: Proc. of Computational approaches for analysis of weblogs, AAAI Spring Symposium 2006, Stanford (March 2006)Google Scholar
  12. 12.
    Berry, M.: Large-scale sparse singular value computations. International Journal of Supercomputer Applications 6(1), 13–49 (1992)MathSciNetGoogle Scholar
  13. 13.
    Gliozzo, A., Strapparava, C.: Domains kernels for text categorization. In: Proc. of the Ninth Conference on Computational Natural Language Learning (CoNLL 2005), Ann Arbor (June 2005)Google Scholar
  14. 14.
    Valitutti, A., Strapparava, C., Stock, O.: Lexical resources and semantic similarity for affective evaluative expressions generation. In: Proc. of the First International Conference on Affective Computing & Intelligent Interaction (ACII 2005) (October 2005)Google Scholar
  15. 15.
    Lee, J., Forlizzi, J., Hudson, S.: The kinetic typography engine: An extensible system for animating expressive text. In: Proc. of ACM UIST 2002 Conference, ACM Press, New York (2002)Google Scholar
  16. 16.
    Ekman, P.: Biological and cultural contributions to body and facial movement. In: Blacking, J. (ed.) Anthropology of the Body, pp. 34–84. Academic Press, London (1977)Google Scholar
  17. 17.
    Strapparava, C., Valitutti, A., Stock, O.: Dances with words. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, India (January 2007)Google Scholar

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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