Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor

作者：

Highlights：

• We propose an integrated framework to process aspect-level data and visualize data in TripAdvisor.

• Our proposed aspect-level approach outperforms baseline algorithms and well-known sentiment classification methods.

• Our visual analytics provides multiple perspectives by using the timeline and location-based analyses.

• Visual analytics results reveal that business travelers tend to rate lower, while couples tend to rate higher.

摘要

•We propose an integrated framework to process aspect-level data and visualize data in TripAdvisor.•Our proposed aspect-level approach outperforms baseline algorithms and well-known sentiment classification methods.•Our visual analytics provides multiple perspectives by using the timeline and location-based analyses.•Visual analytics results reveal that business travelers tend to rate lower, while couples tend to rate higher.

论文关键词：Sentiment analysis,Hospitality,Natural language processing,Social media analytics,Visual analytics,Google trends,TripAdvisor

论文评审过程：Received 29 April 2017, Revised 22 September 2017, Accepted 4 November 2017, Available online 14 November 2017, Version of Record 14 August 2019.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2017.11.001