Skip to main content
Top

2017 | OriginalPaper | Chapter

Visualizing Incongruity and Resolution: Visual Data Mining Strategies for Modeling Sequential Humor Containing Shifts of Interpretation

Authors : Andrew Smigaj, Boris Kovalerchuk

Published in: Distributed, Ambient and Pervasive Interactions

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The goal of this paper is to investigate the use of visualization as an approach to modeling humor within text. In particular, we developed algorithmic and automated approaches to visualizing and detecting shifts in interpretation as intelligent agents parse meaning from garden path jokes. Garden path jokes can occur when a reader’s initial interpretation of an ambiguous text turns out to be incorrect, leading them down the wrong path to a semantic dead end. Given new information, semantic incongruities arise that require resolution, often triggering a humorous response. This is a work of visual text mining, that is visualizing texts in order to detect patterns and features associated with various text based phenomena such as humor. In this paper we describe three successful approaches to text visualization conducive to identifying distinguishing features given humorous and non humorous texts. These are the use of paired collocated coordinates, heat maps, and two-dimensional Boolean plots. The proposed methodology and tools offer a new approach to testing and generating hypotheses related to theories of humor as well as other phenomena involving incongruity-resolution and shifts in interpretation including non-verbal humor.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Dynel, M.: Garden paths, red lights and crossroads. Israeli J. Humor Res. 1(1), 289–320 (2012) Dynel, M.: Garden paths, red lights and crossroads. Israeli J. Humor Res. 1(1), 289–320 (2012)
2.
go back to reference Kovalerchuk, B.: Visualization of multidimensional data with collocated paired coordinates and general line coordinates. In: IS&T/SPIE Electronic Imaging, International Society for Optics and Photonics, p. 90170I (2013) Kovalerchuk, B.: Visualization of multidimensional data with collocated paired coordinates and general line coordinates. In: IS&T/SPIE Electronic Imaging, International Society for Optics and Photonics, p. 90170I (2013)
3.
go back to reference Kovalerchuk, B., Delizy, F.: Visual data mining using monotone boolean functions. In: Kovalerchuk, B., Schwing, J. (eds.) Visual and Spatial Analysis, pp. 387–406. Springer, Dordrecht (2004)CrossRef Kovalerchuk, B., Delizy, F.: Visual data mining using monotone boolean functions. In: Kovalerchuk, B., Schwing, J. (eds.) Visual and Spatial Analysis, pp. 387–406. Springer, Dordrecht (2004)CrossRef
4.
go back to reference Kovalerchuk, B., Schwing, J.: Visual and spatial analysis. Advances in Data Mining, Reasoning, and Problem Solving. Springer, Dordrecht (2005)MATH Kovalerchuk, B., Schwing, J.: Visual and spatial analysis. Advances in Data Mining, Reasoning, and Problem Solving. Springer, Dordrecht (2005)MATH
5.
go back to reference Kovalerchuk, B., Smigaj, A.: Computing with words beyond quantitative words: incongruity modeling. In: 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Held Jointly with 2015 5th World Conference on Soft Computing (WConSC), pp. 1–6, August 2015 Kovalerchuk, B., Smigaj, A.: Computing with words beyond quantitative words: incongruity modeling. In: 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Held Jointly with 2015 5th World Conference on Soft Computing (WConSC), pp. 1–6, August 2015
6.
go back to reference Labutov, I., Lipson, H.: Humor as circuits in semantic networks. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers-Volume 2, pp. 150–155. Association for Computational Linguistics (2012) Labutov, I., Lipson, H.: Humor as circuits in semantic networks. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers-Volume 2, pp. 150–155. Association for Computational Linguistics (2012)
7.
8.
go back to reference Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Burges, C., Bottou, L., Welling, M., Ghahramani, Z., Weinberger, K. (eds.) Advances in Neural Information Processing Systems 26, pp. 3111–3119. Curran Associates, Inc. (2013) Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Burges, C., Bottou, L., Welling, M., Ghahramani, Z., Weinberger, K. (eds.) Advances in Neural Information Processing Systems 26, pp. 3111–3119. Curran Associates, Inc. (2013)
9.
go back to reference Nijholt, A.: Towards humor modelling and facilitation in smart environments. In: Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014 (2014) Nijholt, A.: Towards humor modelling and facilitation in smart environments. In: Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014 (2014)
10.
go back to reference Petrovic, S., Matthews, D.: Unsupervised joke generation from big data. In: ACL (2), pp. 228–232. Citeseer (2013) Petrovic, S., Matthews, D.: Unsupervised joke generation from big data. In: ACL (2), pp. 228–232. Citeseer (2013)
11.
go back to reference Rajaraman, A., Ullman, J.D.: Mining of massive datasets. In: Visual Data Mining, pp. 1–17 (2011) Rajaraman, A., Ullman, J.D.: Mining of massive datasets. In: Visual Data Mining, pp. 1–17 (2011)
12.
go back to reference Ritchie, G.: Developing the incongruity-resolution theory (1999) Ritchie, G.: Developing the incongruity-resolution theory (1999)
13.
go back to reference Ritchie, G.: The jape riddle generator: technical specification. Institute for Communicating and Collaborative Systems (2003) Ritchie, G.: The jape riddle generator: technical specification. Institute for Communicating and Collaborative Systems (2003)
14.
go back to reference Schultz, T.R., Horibe, F.: Development of the appreciation of verbal jokes. Dev. Psychol. 10(1), 13 (1974)CrossRef Schultz, T.R., Horibe, F.: Development of the appreciation of verbal jokes. Dev. Psychol. 10(1), 13 (1974)CrossRef
15.
go back to reference Simoff, S.J., Böhlen, M.H., Mazeika, A.: Visual data mining: an introduction and overview. In: Simoff, S.J., Böhlen, M.H., Mazeika, A. (eds.) Visual Data Mining. LNCS, vol. 4404, pp. 1–12. Springer, Heidelberg (2008). doi:10.1007/978-3-540-71080-6_1 CrossRef Simoff, S.J., Böhlen, M.H., Mazeika, A.: Visual data mining: an introduction and overview. In: Simoff, S.J., Böhlen, M.H., Mazeika, A. (eds.) Visual Data Mining. LNCS, vol. 4404, pp. 1–12. Springer, Heidelberg (2008). doi:10.​1007/​978-3-540-71080-6_​1 CrossRef
16.
go back to reference Taylor, J.M., Mazlack, L.J.: An investigation into computational recognition of children’s jokes. In: Proceedings of the National Conference on Artificial Intelligence, vol. 22, p. 1904. AAAI Press, Menlo Park, MIT Press, Cambridge (1999/2007) Taylor, J.M., Mazlack, L.J.: An investigation into computational recognition of children’s jokes. In: Proceedings of the National Conference on Artificial Intelligence, vol. 22, p. 1904. AAAI Press, Menlo Park, MIT Press, Cambridge (1999/2007)
17.
go back to reference Valitutti, A., Toivonen, H., Doucet, A., Toivanen, J.M.: “Let everything turn well in your wife”: generation of adult humor using lexical constraints. In: ACL (2), pp. 243–248 (2013) Valitutti, A., Toivonen, H., Doucet, A., Toivanen, J.M.: “Let everything turn well in your wife”: generation of adult humor using lexical constraints. In: ACL (2), pp. 243–248 (2013)
Metadata
Title
Visualizing Incongruity and Resolution: Visual Data Mining Strategies for Modeling Sequential Humor Containing Shifts of Interpretation
Authors
Andrew Smigaj
Boris Kovalerchuk
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-58697-7_49