An analytical approach for big social data analysis for customer decision-making in eco-friendly hotels

作者：

Highlights：

• A new method for big social data analysis to reveal traveller’ behavior is presented.

• EM clustering approach is used for customers’ segmentation.

• Neural network combined with fuzzy logic is used for preference prediction.

• The method uses HOSVD for data dimensionality reduction.

• The method is evaluated on eco-friendly hotels data.

摘要

•A new method for big social data analysis to reveal traveller’ behavior is presented.•EM clustering approach is used for customers’ segmentation.•Neural network combined with fuzzy logic is used for preference prediction.•The method uses HOSVD for data dimensionality reduction.•The method is evaluated on eco-friendly hotels data.

论文关键词：Big social data,Eco-friendly hotels,Sustainable tourism,Electronic word-of-mouth,Machine learning techniques

论文评审过程：Received 27 January 2021, Revised 5 July 2021, Accepted 3 August 2021, Available online 8 August 2021, Version of Record 28 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115722