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Título: | Concept Discovery and Argument Bundles in the Experience Web |
Autor: | Ferrer, Xavier CSIC ; Plaza, Enric CSIC ORCID | Palabras clave: | Sentiment analysis Experience web Basic level concepts Aspect extraction Arguments |
Fecha de publicación: | 31-oct-2016 | Editor: | Springer Nature | Citación: | 24th International Conference on Case-Based Reasoning Research and Development, ICCBR 2016; LNAI 9969 (2016): 108-123. | Resumen: | 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. © Springer International Publishing AG 2016. | URI: | http://hdl.handle.net/10261/155823 | DOI: | 10.1007/978-3-319-47096-2_8 | Identificadores: | doi: 10.1007/978-3-319-47096-2_8 issn: 03029743 isbn: 978-331947095-5 |
Aparece en las colecciones: | (IIIA) Comunicaciones congresos |
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