Sentiment analysis in hospitality and tourism: a thematic and methodological review

F Mehraliyev, ICC Chan, AP Kirilenko - International Journal of …, 2022 - emerald.com
Purpose This study aims to conduct a systematic review and critically analyze the sentiment
analysis literature in hospitality and tourism from methodological (data sets and analyzes) …

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

NAM Razali, NA Malizan, NA Hasbullah, M Wook… - Journal of big …, 2021 - Springer
Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …

Analyzing TripAdvisor reviews of wine tours: an approach based on text mining and sentiment analysis

E Barbierato, I Bernetti, I Capecchi - International Journal of Wine …, 2021 - emerald.com
Purpose Wine packaged tours as a specific aspect of wine tourism have so far been
neglected in research, for this reason, the purpose of this study is to study the key elements …

Extracting revisit intentions from social media big data: a rule-based classification model

Y Liu, S Beldona - International Journal of Contemporary Hospitality …, 2021 - emerald.com
Purpose The examination of revisit intentions in hospitality is integral to relationship
marketing and customer loyalty. Its measurement and determination have largely been done …

SpSAN: Sparse self-attentive network-based aspect-aware model for sentiment analysis

PK Jain, W Quamer, R Pamula… - Journal of Ambient …, 2023 - Springer
Consumer reviews for services and products are an essential performance measure for
organizations on their offerings. They are also necessary for forthcoming consumers to …

Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review

FC Manosso, TC Domareski Ruiz - Journal of Tourism, Heritage & …, 2021 - papers.ssrn.com
Purpose: Sentiment analysis is built from the information provided through text (reviews) to
help understand the social sentiment toward their brand, product, or service. The main …

Research on the role of influencing factors on hotel customer satisfaction based on BP neural network and text mining

J Wang, Z Zhao, Y Liu, Y Guo - Information, 2021 - mdpi.com
With the flourishing development of the hotel industry, the study of customer satisfaction
based on online reviews and data has become a new model. In this paper, customer …

Predicting a new hotel rating system by analysing UGC content from Tripadvisor: Machine learning application to analyse service robots influence

J Calero-Sanz, A Orea-Giner, T Villacé-Molinero… - Procedia Computer …, 2022 - Elsevier
Industry 4.0 tools permit computerized creation measures, and Artificial Intelligence (AI)
approaches are pivotal in investigating the travel industry. Applying these devices to …

Social media analytics in tourism: a review and agenda for future research

S Mukhopadhyay, T Jain, S Modgil… - … : An International Journal, 2023 - emerald.com
Purpose The significance of social media in our lives is manifold. The tourism sector closely
interacts with existing and potential tourists through social media, and therefore, social …

The impact of Marketing 4.0 on customer satisfaction and engagement: The distinctive role of brand interaction in the Egyptian hotel Industry

MA Ghonim, W Zakaria Elsawy… - … Journal of Hospitality …, 2024 - Taylor & Francis
The hospitality industry is changing rapidly, prompting hotels to find new ways to attract and
retain customers. This study evaluates marketing 4.0's impact on Egyptian hotel customer …