Abstract
Recent research advances in new on knowledge of the human behavior has been stimulated by mining sensor data and huge text on the Internet. Behavioral modification research is ongoing in a social science research area. These make users to change their behavior and realize the better society which is represented by prohibition of smoking and a route guidance of a GPS navigation system. This research aims to construct the model of the behavioral modification using information technology. This paper examines the technique of extracting the knowledge about the behavioral modification from the online forums on the Internet in which user’s problems and opinions often appear. Specifically, the extraction of the utterances expressing the loss aversion is carried out from a series of online forum text sentences. The loss aversion means that men have a strong tendency to select to avoid a loss rather than get a profit. Therefore, it is possible to build a system which presents users a series of actions of maximizing a profit by investigating what kind of loss aversion actions are performed. This paper shows examples of the loss aversion utterances in online forum text sentences and tries to classify loss aversion utterances on the basis of the expected utility index that is computed only from the text sentences.
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Nobuo, S., Yoshikatsu, F., Kazuhiko, T. (2013). Loss Aversion Behavior Utterances Extraction in Internet with Expected Utility. In: Tweedale, J.W., Jain, L.C. (eds) Advanced Techniques for Knowledge Engineering and Innovative Applications. Communications in Computer and Information Science, vol 246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42017-7_2
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DOI: https://doi.org/10.1007/978-3-642-42017-7_2
Publisher Name: Springer, Berlin, Heidelberg
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