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This paper aims to classify the sentiment of online tourism-hospitality reviews at an aspect level. A new aspect-oriented sentiment classification method is proposed based on a neural network model.Design/methodology/approachThis study constructs an aspect-oriented sentiment classification model...
This study aims to examine the relationship between digital transformation (DigiTr), innovation and human resources planning (HRP) in hotels to investigate the impact of DigiTr on innovations and HRP and to test the mediating impact of innovation on the DigiTr-HRP...
This study aims to explore the success factors of tourism performing arts (TPA) programs by analyzing a large data set of online reviews.Design/methodology/approachA total of 195,230 reviews from Ctrip.com were collected and preprocessed. A deep learning method was leveraged to estimate the...
The purpose of this study is to examine how consumers perceive the importance of using robot technologies for 12 services evaluated under two categories considering the technology acceptance model (TAM).Design/methodology/approachThe conceptual model analysis used structural equation modeling...
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