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Affect Computation Models from Textual Aspect: A Brief Survey

by Lata Gohil, Dharmendra Patel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 11
Year of Publication: 2016
Authors: Lata Gohil, Dharmendra Patel
10.5120/ijca2016910901

Lata Gohil, Dharmendra Patel . Affect Computation Models from Textual Aspect: A Brief Survey. International Journal of Computer Applications. 146, 11 ( Jul 2016), 25-29. DOI=10.5120/ijca2016910901

@article{ 10.5120/ijca2016910901,
author = { Lata Gohil, Dharmendra Patel },
title = { Affect Computation Models from Textual Aspect: A Brief Survey },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 11 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number11/25443-2016910901/ },
doi = { 10.5120/ijca2016910901 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:40.180059+05:30
%A Lata Gohil
%A Dharmendra Patel
%T Affect Computation Models from Textual Aspect: A Brief Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 11
%P 25-29
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Human emotions are outcome of the subjective evaluation of events that occur in the environment. There are various affect theories in psychology to understand human emotion. To make Human-Computer-Interaction (HCI) intelligent, affect theory are to be incorporated. In this paper, discussion of various affect theories and affect computation models have been presented.

References
  1. J. M. George, “Trait and State Affect,” in K. R. Murphy (ed.), Individual Differences and Behavior in Organizations (SanFrancisco: Jossey-Bass, 1996), p. 145.
  2. N. H. Frijda, “Moods, Emotion Episodes and Emotions,” in M. Lewis and J. M. Haviland (eds.), Handbook of Emotions (New York: Guilford Press, 1993), pp. 81–403.
  3. H. M. Weiss and R. Cropanzano, “Affective Events Theory:A Theoretical Discussion of the Structure, Causes and Consequences of Affective Experiences at Work,” in B. M. Staw and L. L. Cummings (eds.), Research in Organizational Behavior, vol. 18 (Greenwich, CT: JAI Press, 1996),pp. 17–19.
  4. Ekman and Davidson (eds.), The Nature of Emotions: Fundamental Question.
  5. P. Shaver, J. Schwartz, D. Kirson, and C. O’Connor, “Emotion Knowledge: Further Exploration of a Prototype Approach,” Journal of Personality and Social Psychology, June 1987, pp. 1061–86; P. Ekman, “An Argument for Basic Emotions,” Cognition and Emotion, May/July 1992, pp. 169–200;C. E. Izard, “Basic Emotions, Relations among Emotions, and Emotion–Cognition Relations,” Psychological Bulletin, November 1992, pp. 561–65; and R. Plutchik, The Psychology and Biology of Emotion (New York: HarperColli
  6. Weiss and Cropanzano, “Affective Events Theory,” pp. 20–22.
  7. A. Mehrabian, “Pleasure-arousal-dominance: A general framework for describingand measuring individual differences in temperament.”
  8. R. Picard, Affective Computing. Cambridge, MA: The MIT Press, 1997.
  9. M. S. El Nasr and J. Yen, “Flame: Fuzzy logic adaptive model of emotions,” Autonomous Agents and Multi-Agent Systems, vol. 3(3), pp. 219_257, 2000
  10. N. Serbedzija and S. Fairclough, “Biocybernetic loop: From awareness to evolution,” in Proc. IEEE Congress on Evolutionary Computation,Trondheim, Norway, May 2009, pp. 2063–2069.
  11. Plutchik R. “The psychology and biology of emotion”, New York: Harper Collins, 1994.
  12. D. Wu, “Fuzzy sets and systems in building closed-loop affective computing systems for human-computer interaction: Advances and new directions,” IEEE World Congress on Computational Intelligence, Brisbane, Australia, June 2012.
  13. Norman, D.A.: Emotional Design: Why we Love (or Hate) Everyday Things. Basic Books,New York (2004)
  14. Sony, http://news.sel.sony.com/en/press_room/consumer/digital_imaging/digital_ cameras/cyber-shot/release/31103.html
  15. Boehner, K., DePaula, R., Dourish, P., Sengers, P.: How Emotion is Made and Measured. International Journal of Human-Computer Studies 65(4), 275–291 (2007)
  16. Daniel Goleman. Emotional Intelligence: Why It Can Matter More than IQ. Bloomsbury Publishing, London, 1996.
  17. Affective Computing, Aaron Sloman, reviewer; AI Magazine, Spring 1999, pp. 127-137
  18. A. R. Damasio, Descartes' error, Grosset/Putnam, New York, 1994.
  19. H. Simon, “Motivational and Emotional Controls of Cognition,” Models of Thought, pp. 29-38, Yale University Press, 1979.
  20. A. Sloman and M. Croucher, “Why Robots will Have Emotions,” Proc. of the SeventhInternational Conference on Artificial Intelligence, pp. 197-202, 1981.
  21. Cornelius, R. The Science of Emotion: Research and Tradition in the Psychology of Emotion. New Jersey: Prentice-Hall, 1995.
  22. Plutchik, R. The emotions. University Press of America, 1990.
  23. MEHRABIAN, A. & RUSSELL, J. A. (1974) An Approach to Environmental Psychology, Cambridge, Mass, The MIT Press.
  24. C. E. Osgood, “Studies of the generality of affective meaning systems,” American Psychologist, vol. 17, pp. 10_28, 1962.
  25. Dawn T. Robinson and Lynn Smith-Lovin. Contemporary Social Psychological Theories, chapter Affect Control Theory. Stanford Social Sciences, 2006.
  26. E. Peacock and P. Wong, "The stress appraisal measure (SAM): A multidimensional approach to cognitive appraisal,"Stress Medicine, vol. 6, pp. 227-236, 1990.
  27. R. Lazarus, Emotion and Adaptation. NY: Oxford University Press, 1991.
  28. A. Ortony, G. Clore, and A. Collins, The Cognitive Structure of Emotions.Cambridge University Press, 1988.
  29. P. M. T. J. Bosse, T., “A computational model based on gross emotion regulation theory,” Cognitive systems research, vol. 11, pp. 211_230, 2010.
  30. G. J. Marsella, S. and P. Petta, Computational Models of Emotion, for Affective Computing. ict.usc.edu, 2010.
  31. R. S. Lazarus, “Progress on a cognitive-motivational-relational theory of emotion.“ American Psychologist, vol. 46(8), pp. 819_834, 1991.
  32. P. Gebhard, “Alma - a layered model of affect,” in Fourth International Joint Conference on Autonomous Agents and Multiagent Systems, 2005.
  33. P. Ekman, (1999) Basic emotions. In T. Dalgleish and T. Power (Eds.) The handbook of cognition and emotion. Pp. 45-60. New York.: John Wiley & Sons.
  34. S. Shaheen, W. El-Hajj, H. Hajj and S. Elbassuoni, "Emotion recognition from text based on automatically generated rules", Proceedings of IEEE International Conference on Data Mining
  35. A. Alhothali, J. Hoey, “Good news or bad news: using affect control theory to analyze readers' reaction towards news articles, in”, Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Denver, Colorado, 2015, pp. 1548-1558.
  36. Shaikh, M.A.M., Prendinger, H. and Ishizuka, M. (2009). “A Linguistic Interpretation of the OCC Emotion Model for Affect Sensing from Text”, Affective Information Processing, Springer London, 45-73
  37. L. Huangfu, W. Mao, D. Zeng and L. Wang, "OCC model-based emotion extraction from online reviews," Intelligence and Security Informatics (ISI), 2013 IEEE International Conference on, Seattle, WA, 2013, pp. 116-121.
  38. J. Suttles and N. Ide. Distant supervision for emotion classification with discrete binary values. In Computational Linguistics and Intelligent Text Processing, pages 121–136. Springer, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Emotion detection from text emotion detection approaches

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