Abstract
In this paper we focus on a particular interesting web user-generated content: people’s experiences. We extend our previous work on aspect extraction and sentiment analysis and propose a novel approach to create a vocabulary of basic level concepts with the appropriate granularity to characterize a set of products. This concept vocabulary is created by analyzing the usage of the aspects over a set of reviews, and allows us to find those features with a clear positive and negative polarity to create the bundles of arguments. The argument bundles allow us to define a concept-wise satisfaction degree of a user query over a set of bundles using the notion of fuzzy implication, allowing the reuse experiences of other people to the needs a specific user.
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Acknowledgments
This research has been partially supported by NASAID (CSIC Intramural 201550E022). We thank Lluís Godo and Pere García for their insightful comments.
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Ferrer, X., Plaza, E. (2016). Concept Discovery and Argument Bundles in the Experience Web. In: Goel, A., Díaz-Agudo, M., Roth-Berghofer, T. (eds) Case-Based Reasoning Research and Development. ICCBR 2016. Lecture Notes in Computer Science(), vol 9969. Springer, Cham. https://doi.org/10.1007/978-3-319-47096-2_8
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DOI: https://doi.org/10.1007/978-3-319-47096-2_8
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