Skip to main content
SpringerLink
Log in
Book cover

International Conference on Case-Based Reasoning

ICCBR 2016: Case-Based Reasoning Research and Development pp 108–123Cite as

Concept Discovery and Argument Bundles in the Experience Web

  • Conference paper
  • First Online:

  • 1031 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9969))

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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Chen, L., Chen, G., Wang, F.: Recommender systems based on user reviews: the state of the art. User Model. User Adap. Inter. 25(2), 99–154 (2015)

    Article  Google Scholar 

  2. Dong, R., Schaal, M., O’Mahony, M., McCarthy, K., Smyth, B.: Mining features and sentiment from review experiences. In: Case-Based Reasoning Research and Development. LNCS, vol. 7969, pp. 59–73. Springer, Heidelberg (2013)

    Google Scholar 

  3. Dong, R., Schaal, M., O’Mahony, M.P., McCarthy, K., Smyth, B.: Opinionated product recommendation. In: Delany, S.J., Ontañón, S. (eds.) ICCBR 2013. LNCS (LNAI), vol. 7969, pp. 44–58. Springer, Heidelberg (2013). doi:10.1007/978-3-642-39056-2_4

    Chapter  Google Scholar 

  4. Hájek, P., Godo, L., Esteva, F.: A complete many-valued logic with product-conjunction. Arch. Math. Logic 35(3), 191–208 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  5. Hu, M., Liu, B.: Mining opinion features in customer reviews. In: Proceedings of the Nineteenth National Conference on Artificial Intelligence, pp. 755–760 (2004)

    Google Scholar 

  6. Izquierdo, R., Suárez, A., Rigau, G.: Word vs. class-based word sense disambiguation. J. Artif. Intell. Res. (JAIR) 54, 83–122 (2015)

    MathSciNet  Google Scholar 

  7. Meng, L., Huang, R., Gu, J.: A review of semantic similarity measures in wordnet. Int. J. Hybrid Inform. Technol. 6(1), 1–12 (2013)

    Google Scholar 

  8. Muhammad, K., Lawlor, A., Rafter, R., Smyth, B.: Great explanations: opinionated explanations for recommendations. In: Hüllermeier, E., Minor, M. (eds.) ICCBR 2015. LNCS (LNAI), vol. 9343, pp. 244–258. Springer, Heidelberg (2015). doi:10.1007/978-3-319-24586-7_17

    Chapter  Google Scholar 

  9. Plaza, E.: Semantics and experience in the future web. In: Althoff, K.-D., Bergmann, R., Minor, M., Hanft, A. (eds.) ECCBR 2008. LNCS (LNAI), vol. 5239, pp. 44–58. Springer, Heidelberg (2008). doi:10.1007/978-3-540-85502-6_3

    Chapter  Google Scholar 

  10. Rosch, E.: Human categorization. Stud. Cross Cult. Psychol. 1, 1–49 (1977)

    Google Scholar 

  11. Sani, S., Wiratunga, N., Massie, S., Lothian, R.: Term similarity and weighting framework for text representation. In: Ram, A., Wiratunga, N. (eds.) ICCBR 2011. LNCS (LNAI), vol. 6880, pp. 304–318. Springer, Heidelberg (2011). doi:10.1007/978-3-642-23291-6_23

    Chapter  Google Scholar 

  12. Turney, P.: Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the Annual Meeting on Association for Computational Linguistics, pp. 417–424 (2002)

    Google Scholar 

  13. Chen, Y.Y., Ferrer, X., Wiratunga, N., Plaza, E.: Sentiment and preference guided social recommendation. In: Lamontagne, L., Plaza, E. (eds.) ICCBR 2014. LNCS (LNAI), vol. 8765, pp. 79–94. Springer, Heidelberg (2014). doi:10.1007/978-3-319-11209-1_7

    Google Scholar 

  14. Chen, Y.Y., Ferrer, X., Wiratunga, N., Plaza, E.: Aspect selection for social recommender systems. In: Hüllermeier, E., Minor, M. (eds.) ICCBR 2015. LNCS (LNAI), vol. 9343, pp. 60–72. Springer, Heidelberg (2015). doi:10.1007/978-3-319-24586-7_5

    Chapter  Google Scholar 

  15. Yitzhaki, S.: Relative deprivation and the Gini coefficient. Q. J. Econ. 93, 321–324 (1979)

    Article  Google Scholar 

Download references

Acknowledgments

This research has been partially supported by NASAID (CSIC Intramural 201550E022). We thank Lluís Godo and Pere García for their insightful comments.

Author information

Authors and Affiliations

  1. Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC), Campus U.A.B., Bellaterra, Catalonia, Spain

    Xavier Ferrer & Enric Plaza

  2. Universitat Autònoma de Barcelona, Bellaterra, Catalonia, Spain

    Xavier Ferrer

Authors
  1. Xavier Ferrer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Enric Plaza
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xavier Ferrer .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology , Atlanta, Georgia, USA

    Ashok Goel

  2. Universidad Complutense de Madrid , Madrid, Spain

    M Belén Díaz-Agudo

  3. University of West London , London, United Kingdom

    Thomas Roth-Berghofer

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47096-2_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47095-5

  • Online ISBN: 978-3-319-47096-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation