... these pictorial attributes by using deep learning models. Design/methodology/approach A mixed-methods approach was used across three phases. First, two pretrained deep learning models were used to identify manifest and photography-level attributes. The second phase involved qualitative surveys...

... for the industry. Design/methodology/approach This study elaborates a hybrid model that integrates deep learning (DL) and a sentiment lexicon (SL) and compares it to five other models, including SL, random forest (RF), naïve Bayes, support vector machine (SVM) and a DL model, for the task of emotion...

...Jun Liu; Sike Hu; Fuad Mehraliyev; Haolong Liu Purpose This study aims to investigate the current state of research using deep learning methods for text classification in the tourism and hospitality field and to propose specific guidelines for future research. Design/methodology/approach...

.... With the development of deep learning and computer vision techniques, current studies were able to extract various types of visual information from large-scale datasets with high accuracy and efficiency. To the best of the authors’ knowledge, this study is the first to offer an outlook of image recognition techniques...

... from Yelp. Section 4 proposes the food aesthetic assessment model using computer vision and deep learning techniques, and comparative photographic attributes. Section 5 presents the results from one-way and two-way ANOVA models, respectively. Section 6 discusses both theoretical and managerial...

... This study aims to provide a systematic review of the existing literature on the applications of deep learning (DL) in hospitality, tourism and travel as well as an agenda for future research. RQ1. What are the current application areas of DL in HTT? RQ2. Can we create...

.... Design/methodology/approach The empirical forecasting is conducted by introducing a segmented machine learning approach of leveraging hierarchical clustering tied to machine learning and deep learning techniques. These features allow the model to yield more precise estimates. This study evaluates...