Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach

@inproceedings{MarreseTaylor2013IdentifyingCP,
  title={Identifying Customer Preferences about Tourism Products Using an Aspect-based Opinion Mining Approach},
  author={Edison Marrese-Taylor and Juan D. Vel{\'a}squez and Felipe Bravo-Marquez and Yutaka Matsuo},
  booktitle={KES},
  year={2013}
}
In this study we extend Bing Liu’s aspect-based opinion mining technique to apply it to the tourism domain. Using this extension, we also offer an approach for considering a new alternative to discover consumer preferences about tourism products, particularly hotels and restaurants, using opinions available on the Web as reviews. An experiment is also conducted, using hotel and restaurant reviews obtained from TripAdvisor, to evaluate our proposals. Results showed that tourism product reviews… CONTINUE READING
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  • The proposed approach proved to be very effective in determining the sentiment orientation of opinions, achieving a precision and recall of 90%.

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