...Juhwan Lim; Hyun Cheol Lee Purpose Video marketing, such as YouTube, has gained enormous attention in hospitality and tourism. This study aims to develop a customized image classification model based on a deep learning algorithm and investigate the relationship between visual spatial elements...

... subjectivity of topic modeling, offering a deep learning–based solution aligned with national hospitality standards. Design/methodology/approach Using a data set of 124,381 user reviews from 70 five-star hotels in Jiangsu Province, collected via the Ctrip platform, this study applies a fine-tuned Chinese...

... and predictive accuracy. This study aims to propose a novel review helpfulness prediction model that uses deep learning (DL) techniques to consider the complementarity between hand-crafted and deep features. Design/methodology/approach First, an advanced convolutional neural network was applied to extract deep...

... information from real-world online restaurant platforms. This study also presents deep learning mechanisms that outperform the recommendation performance of state-of-the-art models. The results of this study can reduce the cost of exploring consumers and support effective purchasing decisions. 研究目的 关于餐厅的...

... and Spanish texts, including deep learning models. Findings The best results in a test set were obtained using a bidirectional encoder representations from transformers (BERT) model for Spanish texts and Tweeteval for English texts, and these were subsequently used to analyze the data sets...