Evaluating hotels rating prediction based on sentiment analysis services

Rutilio Rodolfo López Barbosa, Salvador Sánchez-Alonso, Miguel Angel Sicilia-Urban
  • Aslib Journal of Information Management, July 2015, Emerald
  • DOI: 10.1108/ajim-01-2015-0004

Sentiment Analysis on messages from Hotels' Users

What is it about?

Opinion sites such as TripAdvisor.com allow users to express their satisfaction level by issuing comments. Sentiment Analysis on those messages give quantitative information about this satisfaction level. This work assesses the correlation between sentiment analysis of hotels’ reviews and their actual ratings.

Why is it important?

Current Sentiment Analysis tools may be useful for summarizing opinions of user reviews of products and services on web sites that do not require users to post numerical ratings such as traveler forums. This summarizing may be valuable not just to potential users, but also to the service and product providers and offers validation and benchmarking for future improvement of opinion mining and prediction techniques

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The following have contributed to this page: Professor Rutilio R López

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