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A Comparison of Unsupervised Methods to Associate Colors with Words

  • Gözde Özbal
  • Carlo Strapparava
  • Rada Mihalcea
  • Daniele Pighin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6975)

Abstract

Colors have a very important role on our perception of the world. We often associate colors with various concepts at different levels of consciousnes and these associations can be relevant to many fields such as education and advertisement. However, to the best of our knowledge, there are no systematic approaches to aid the automatic development of resources encoding this kind of knowledge. In this paper, we propose three computational methods based on image analysis, language models, and latent semantic analysis to automatically associate colors to words. We compare these methods against a gold standard obtained via crowd-sourcing. The results show that each method is effective in capturing different aspects of word-color associations.

Keywords

Target Word Latent Semantic Analysis Unsupervised Method Basic Color Associate Color 
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.
    Alt, M.: Emotional responses to color associated with an advertisement. Master’s thesis, Graduate College of Bowling Green State University, Ohio (2008)Google Scholar
  2. 2.
    Berlin, B., Kay, P.: Basic Color Terms Their Universality and Evolution. University of California, Berkeley (1969)Google Scholar
  3. 3.
    Berry, M.: Large-scale sparse singular value computations. International Journal of Supercomputer Applications 6(1), 13–49 (1992)CrossRefGoogle Scholar
  4. 4.
    Brants, T., Franz, A.: Web 1T 5-gram version 1. LDC (2006)Google Scholar
  5. 5.
    Budanitsky, A., Hirst, G.: Evaluating WordNet-based measures of lexical semantic relatedness. Computational Linguistics 32(1), 13–47 (2006)CrossRefMATHGoogle Scholar
  6. 6.
    Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T., Harshman, R.: Indexing by latent semantic analysis. Journal of the American Society for Information Science 41(6), 391–407 (1990)CrossRefGoogle Scholar
  7. 7.
    Gao, X., Xin, J., Sato, T., Hansuebsai, A., Scalzo, M., Kajiwara, K., Guan, S., Valldeperas, J., Jose, M.L., Billger, M.: Analysis of cross-cultural color emotion. Color Research and Application 32, 223–229 (2007)CrossRefGoogle Scholar
  8. 8.
    Grefenstette, G.: The Color of Things: Towards the Automatic Acquisition of Information for a Descriptive Dictionary. Revue Française de Linguistique Appliquée X, 83–94 (2005)Google Scholar
  9. 9.
    Kaya, N.: Relationship between color and emotion: a study of college students. College Student Journal, 396–405 (2004)Google Scholar
  10. 10.
    Leong, C., Mihalcea, R., Hassan, S.: Text mining for automatic image tagging. In: International Conference on Computational Linguistics, Beijing, China, pp. 647–655 (August 2010)Google Scholar
  11. 11.
    Madden, T.J., Hewett, K., Martin, S.R.: Managing images in different cultures: A cross-national study of color meanings and preferences. Journal of International Marketing 8(4), 90–107 (2000)CrossRefGoogle Scholar
  12. 12.
    McCarthy, D., Navigli, R.: The semeval English lexical substitution task. In: Proceedings of the ACL Semeval Workshop (2007)Google Scholar
  13. 13.
    Mohammad, S., Turney, P.: Emotions evoked by common words and phrases: Using mechanical turk to create an emotion lexicon. In: Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, Los Angeles, CA, pp. 26–34 (2010)Google Scholar
  14. 14.
    Özbal, G., Strapparava, C.: MEANS: Moving Affective Assonances for Novice Students. In: Proceedings of the 16th International Conference on Intelligent User Interfaces, IUI 2011, pp. 449–450. ACM, New York (2011)Google Scholar
  15. 15.
    Soriano, C., Valenzuela, J.: Emotion and colour across languages: implicit associations in spanish colour terms. Social Science Information 48, 421–445 (2009)CrossRefGoogle Scholar
  16. 16.
    Strapparava, C., Özbal, G.: The color of emotions in texts. In: Proceedings of the 2nd Workshop on Cognitive Aspects of the Lexicon, Coling 2010, Beijing, China, pp. 28–32 (2010)Google Scholar
  17. 17.
    Xin, J., Cheng, K., Taylor, G., Sato, T., Hansuebsai, A.: A cross-regional comparison of colour emotions. part I. quantitative analysis. Color Research and Application 29, 451–457 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Gözde Özbal
    • 1
  • Carlo Strapparava
    • 1
  • Rada Mihalcea
    • 2
  • Daniele Pighin
    • 3
  1. 1.FBKTrentoItaly
  2. 2.UNTDentonUSA
  3. 3.UPCBarcelonaSpain

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