Mining patterns of e-Learner emotion communication in turn level of Chinese interactive texts: Experiments and findings

Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2010

Volumn , Issue , 2010, Pages 664-670

  Tian, Feng ^a   Zheng, Qinghua ^a   Zheng, Deli ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

E learner emotion communication pattern; Sequential pattern mining; SPAM; Turn

Indexed keywords

COMMUNICATION PATTERN; COMPUTING MODEL; INTERACTIVE TEXTS; PREDICTION PERFORMANCE; SEQUENTIAL PATTERN MINING; SPAM; TURN;

GROUPWARE; INTERACTIVE COMPUTER SYSTEMS; INTERNET; MINING;

COMMUNICATION;

EID: 79953792719     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSCWD.2010.5471892     Document Type: Conference Paper

References (20)

1. F. Feng, Q. Zheng, R. Zhao and T. Chen, "Can e-Learner's Emotion be Recognized from Interactive Chinese Texts?," Proceedings of the 2009 13th International Conference on Computer Supported Cooperative Work in Design, San diego, CHILE, April, 2009, pp. 546-551.
2. R. Picard, Affective Computing, The MIT Press, Cambridge, 1997.
3. Klein J., Moon Y., Picard R. W., This computer responds to user frustraction: theory, design, and results. Interacting with computer, 2002, 14(2), 119-140. (Pubitemid 34199155)
4. Wiki, (2009): http://en.wikipedia.org/wiki/Emotion.
5. B. Liu.: Sentiment Analysis and Subjectivity, in N. Indurkhya and F. J. Damerau (2010). Handbook of Natural Language Processing, Second Edition, 2010.
6. S. Eirini, B. Sabine, and T. Simone. "Sentence-based Emotion Classification for Text-to-Speech". Computational Aspect of Affectual and Emotional Interaction (CAFFEi2008), Patras, July, 21, 2008
7. Thayer, Robert E. (1989): The biopsychology of mood and arousal. New Yok, NY: Oxford University Press.
8. VandenBos, Gary R., ed. (2006): APA Dictionary of Psychology Washington, DC: American Psychological Association, page 26.
9. Plutchik R.: A general psychoevolutionary theory of emotion. in Emotion Theory, Research, and Experience (R. Plutchik and H. Kellerman, eds.), vol. 1, Theories of Emotion, Academic Press, 1980.
10. http://www.trans4mind.com/mind-development/jung.html
11. Picard, R. W.: Affective Computing. M.I.T. Media Laboratory Perceptual Computing Section Technical Report No. 321. 1995.
12. Jaques P. A., Vicari R. M.: A BDI approach to infer student's emotions in an intelligent learning environment, Computers & Education, 49, (2007): 360-384 (Pubitemid 46805072)
13. Tellegen, A., Watson, D., Clark, L.A.: On the dimensional and Hierarchical Structure of Affect. Psychological Science 10, no 4, (1999): 297-303.
14. M. J. Zaki. Spade: An efficient algorithm for mining frequent sequences. Machine Learning, 42(1/2):31-60, 2001. (Pubitemid 32872398)
15. A. Jay, G. Johannes, Y. Tomi, and F. Jason, "Sequential PAttern Mining using A Bitmap Representation", SIGKDD '02 Edmonton, Alberta, Canada
16. J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu. PrefixSpan mining sequential patterns efficiently by prefix projected pattern growth. In ICDE 2001, pages 215-226, Heidelberg, Germany, Apr. 2001.
17. P. Marc, L. Anne, and T. Maguelonne, "HYPE: Mining Hierarchical Sequential Pattern Mining," URL: hal.archives-ouvertes.fr/docs/00/10/28/62/ PDF/D688.PDF.
18. D. Zhang, C. Cao, X. Yong, H. Wang, and Y. Pan, A Survey of Computational Emotion Research, T. Panayiotopoulos et al. (Eds.): IVA 2005, Lecture Notes on Artificial Intelligence 3661, p. 490, 2005.
19. Clark Elliott. The Affective Reasoner: A Process Model of Emotions in a Multi-Agent System. The Institute for the Learning Sciences Technical Report #3str2, PhD Thesis, Northwestern University. 1992, http://condor.depaul.edu/ ~elliott/ar/papers/dis/elliott-phd.html
20. J. D. Velasquez and P. Maes, Cathexis: a computational model of emotions, Proceedings of the first international conference Autonomous agents, Feb. 1997 - Feb. 1997, Marina del Rey, California, United States, 1997, pp:518 - 519