Tourism recommendation system based on semantic clustering and sentiment analysis

作者：

Highlights：

• Users' reviews on tourism networks are processed to extract their preferences.

• Attractions aggregated reviews are processed to extract their features.

• A personalized tourism recommendation system is proposed.

• The proposed recommendation system is context-aware.

摘要

•Users' reviews on tourism networks are processed to extract their preferences.•Attractions aggregated reviews are processed to extract their features.•A personalized tourism recommendation system is proposed.•The proposed recommendation system is context-aware.

论文关键词：Tourism recommendation system,Sentiment analysis,Context-awareness,Semantic similarity

论文评审过程：Received 11 May 2020, Revised 29 September 2020, Accepted 13 November 2020, Available online 21 November 2020, Version of Record 11 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114324