Characterizing the internet's sense of humor

Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012

Volumn , Issue , 2012, Pages 579-584

  Mahapatra, Amogh ^a   Srivastava, Nisheeth ^a   Srivastava, Jaideep ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Computational Model; Humor; Incongruity

Indexed keywords

COMPUTATIONAL MODEL; CONTENT-BASED; HUMAN BEHAVIORS; HUMOR; INCONGRUITY; INTERNET BASED; INTRINSIC FACTORS; SEMANTIC DISTANCE; SOCIAL COMPUTING; SUFFICIENT CONDITIONS; UNDERLYING CAUSE; YOUTUBE;

SEMANTICS;

INTERNET;

EID: 84873665289     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SocialCom-PASSAT.2012.105     Document Type: Conference Paper

References (17)

1. Chandola V., Banerjee A. and Kumar V., Anomaly detection: A survey, (2009). ACM Computing Surveys, 41 3, pp. 158
2. Cilibrasi R. and Vitanyi P. (2004). The Google Similarity Distance, IEEE Trans. Knowledge and Data Engineering, 19:3(2007), 370383
3. Lin, D. (1998). An information-theoretic definition of similarity. Proceedings of the 15th International Conference on Machine Learning (ICML-98), Madison, WI, pp. 296-304
4. Mahapatra A.,Srivastava N.,Srivastava J.(2012). Contextual Anomaly Detection In Text Data.Text Mining Workshop, Proceedings of the Twelth SIAM International Conference on Data Mining, Anaheim,CA, April 26-April 28
5. Mangalath, P., Quesada, J., and Kintsch, W. (2004). Analogy-making as predication using relational information and LSA vectors. In K.D. Forbus, D. Gentner & T. Regier (Eds.), Proceedings of the 26th Annual Meeting of the Cognitive Science Society. Chicago: Lawrence Erlbaum Associates
6. Resnik, P. (1995). Using information content to evaluate semantic similarity. Proceedings of the 14th International Joint Conference on Artificial intel (IJCAI-95), Montreal, pp. 448-453
7. Schalekamp F. and Zuylen A. V. (2009) Rank aggregation: Together were strong. In Proc. of 11th ALENEX, pages 3851. SIAM
8. Raskin V.(1985). Semantic Mechanisms of Humor. Dordrecht and Boston & Lancaster:D. Reidel Publishing Company
9. Morreall J. (ed.) 1987. The Philosophy of Laughter and Humor. New York: State University of New York Press
10. Brock A.(2004). Analyzing scripts in humorous communication. HUMOR: International Journal of Humor Research, 17 (4), pp. 353360
11. Keith-Speigel P.(1972)Early conceptions of humor: Varieties and issues. In Goldstein and McGhee, pages 339
12. Krikmann, Arvo (2007) Contemporary linguistic theories of humour. Folklore: Electronic Journal of Folklore 33, 2757
13. Fun Fare: A Treasury of Reader's Digest Wit and Humor. Pleasantville, NY: The Reader's Digest Association, 1949 (p. 84)
14. Smuts, A. (2006) 'Humor', The Internet Encyclopedia of Philosophy, accessed 12 May, 2012
15. TED Talk:Kevin Allocca: Why Videos Go Viral
16. Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I..H (2009); The WEKA Data Mining Software: An Update; SIGKDD Explorations, Volume 11, Issue 1
17. Ranjan, A., Srinivasan, N. (2010). Dissimilarity in creative categorization. Journal of Creative Behavior, 44, 71-83