Contender: Leveraging User Opinions for Purchase Decision-Making

  • Tiago de MeloEmail author
  • Altigran S. da Silva
  • Edleno S. de Moura
  • Pável Calado
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11438)


User opinions posted on e-commerce websites are a valuable source to support purchase making-decision. Unfortunately, it is not generally feasible for an ordinary buyer to examine a large set of reviews on a given product for useful information on certain attributes. We present a system named Contender that can summarize product reviews aligned to the attributes of these products. Contender is implemented as an Android app for smartphones.


Opinion mining User reviews Experimentation 


  1. 1.
    Poria, S., et al.: A rule-based approach to aspect extraction from product reviews. In: Proceedings of the Second Workshop on Natural Language Processing for Social Media (2014)Google Scholar
  2. 2.
    Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems (2013)Google Scholar
  3. 3.
    Moussa, M.E., et al.: A survey on opinion summarization techniques for social media. Future Comput. Inform. J. 3, 82–109 (2018)CrossRefGoogle Scholar
  4. 4.
    Amplayo, R.K., Song, M.: An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews. Data Knowl. Eng. 110, 54–67 (2017)CrossRefGoogle Scholar
  5. 5.
    Rakesh, V., et al.: A sparse topic model for extracting aspect-specific summaries from online reviews. In: Proceedings of the WWW Conference (2018)Google Scholar
  6. 6.
    Zhou, X., Wan, X., Xiao, J.: CMiner: opinion extraction and summarization for Chinese microblogs. IEEE Trans. Knowl. Data Eng. 28, 1650–1663 (2016)CrossRefGoogle Scholar
  7. 7.
    Zha, Z.-J., Yu, J., Tang, J., Wang, M., Chua, T.-S.: Product aspect ranking and its applications. IEEE Trans. Knowl. Data Eng. 26, 1211–1224 (2014)CrossRefGoogle Scholar
  8. 8.
    Liu, B.: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions. Cambridge University Press, Cambridge (2015)CrossRefGoogle Scholar
  9. 9.
    Varathan, K.D., Giachanou, A., Crestani, F.: Comparative opinion mining: a review. J. Assoc. Inf. Sci. Technol. 68, 811–829 (2017)CrossRefGoogle Scholar
  10. 10.
    Ganapathibhotla, M., Liu, B.: Mining opinions in comparative sentences. In: Proceedings of the 22nd International Conference on Computational Linguistics, vol. 1, pp. 241–248 (2008)Google Scholar
  11. 11.
    Jindal, N., Liu, B.: Identifying comparative sentences in text documents. In: SIGIR (2006)Google Scholar
  12. 12.
    Kessler, W., Kuhn, J.: Detection of product comparisons-how far does an out-of-the-box semantic role labeling system take you? In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1892–1897 (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Tiago de Melo
    • 1
    • 2
    Email author
  • Altigran S. da Silva
    • 2
  • Edleno S. de Moura
    • 2
  • Pável Calado
    • 3
  1. 1.Universidade do Estado do AmazonasManausBrazil
  2. 2.Universidade Federal do AmazonasManausBrazil
  3. 3.Universidade de LisboaLisboaPortugal

Personalised recommendations