References
- Aman, S. and Szpakowicz, S., 2007. Identifying expressions of emotion in text. In: V. Matoušek and P. Mautner, eds. Proceedings of the 10th international conference on text, speech and dialogue (TSD’07). Berlin: Springer-Verlag, 196–205.
- Bergadano, F., Gunetti, D., and Picardi, C., 2003. Identity verification through dynamic keystroke analysis. Intelligent Data Analysis, 7 (5), 469–496.
- Brave, S. and Nass, C., 2003. Emotion in human-computer interaction. In: J.A. Jacko and A. Sears, eds. The human-computer interaction handbook. Hillsdale, NJ: Lawrence Erlbaum Associates, 81–96.
- Carroll, L., 2008. Alice's adventures in wonderland. The Gutenberg Project.
- Chandra, A., 1997. A computational architecture to model human emotions. Intelligent information systems, 1997. IIS ’97. Proceedings, 8–10 December, Grand Bahama Island, 86–89. doi:10.1109/IIS.1997.645194
- Danisman, T. and Alpkocak, A., 2008. Feeler: emotion classification of text using vector space model. AISB 2008 convention, communication, interaction and social intelligence, vol. 2, 1–4 April, Aberdeen.
- Ekman, P., 1992. An argument for basic emotions. Cognition and Emotion, 6 (3–4), 169–200.
- Epp, C., Lippold, M., and Mandryk, R.L., 2011. Identifying emotional states using keystroke dynamics. CHI conference on human factors in computing systems, 7–12 May, Vancouver, BC, Canada, 715–724. doi:10.1145/1978942.1979046
- Hektner, J., Schmidt, J., and Csikszentmihalyi, M., 2007. Experience sampling method: measuring the quality of everyday life. Thousand Oaks, CA: Sage.
- Inkpen, D., Keshtkar, F., and Ghazi, D., 2009. Analysis and generation of emotion in texts. In: M. Frentiu and H.F. Pop, eds. KEPT 2009 knowledge engineering-principles and techniques, selected papers, Presa Universitara Clujeana, 2–4 July, Romania, 3–13.
- ISEAR (International Survey on Emotion Antecedents and Reactions). Available from: http://www.affective-sciences.org/researchmaterial http://www.affective-sciences.org/researchmaterial [Accessed 11 September 2012].
- Khanna, P. and Sasikumar, M., 2010. Recognising emotions from keyboard stroke pattern. International Journal of Computer Applications, 11 (9), 1–5.
- Ma, C., et al., 2005. A chat system based on emotion estimation from text and embodied conversational messengers. Active media technology, 2005 (AMT 2005). Proceedings of the 2005 international conference on, 19–21 May, Takamatsu, Kagawa, Japan, 546–548.
- Mishne, G., 2005. Experiments with mood classification in blog posts. Proceedings of ACM SIGIR 2005 workshop on stylistic analysis of text for information access, vol. 19, 19 August, Salvador, Bahia, Brazil.
- Monrose, F. and Rubin, A.D., 2000. Keystroke dynamics as a biometric for authentication. Future Generation Computer Systems, 16 (4), 351–359.
- Picard, R.W., 2007. Affective computing. Cambridge: MIT Press.
- Russell, J., 2003. Core affect and the psychological, construction of emotion. Psychological Review, 110 (1), 145–172.
- Salton, G., Wong, A., and Yang, C. S., 1975. A vector space model for automatic indexing. Communications of the ACM, 18 (11), 613–620.
- Scherer, K.R. and Wallbott, H.G., 1994. Evidence for universality and cultural variation of differential emotion response patterning. Journal of Personality and Social Psychology, 66 (2), 310–328.
- Witten, I. and Frank, E., 2005. Data mining: practical machine learning tools and techniques. San Francisco, CA: Morgan Kaufmann.