Revamp Tourism—Utilization of Affective Reasoning, Artificial Intelligence, and Big Data through Natural Language Processing
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 6408
Special Issue Editors
Interests: artificial intelligence; machine learning; information retrieval; natural language processing; computational technologies; sentiment analysis; depression detection; multimodal sentiment analysis; social media; multi-lingual sentiment analysis; emotion analysis
Special Issues, Collections and Topics in MDPI journals
Interests: smart cities; IoT; Industry 4.0; machine learning; artificial intelligence natural language processing; computational technologies; sentiment analysis
Special Issues, Collections and Topics in MDPI journals
2. Air Institute, IoT Digital Innovation Hub, 37188 Salamanca, Spain
3. Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
Interests: artificial intelligence; smart cities; smart grids
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The 21st century is an era that goes by the name of social connectedness where individuals are exuberant about sharing their opinion, experience, and thoughts through collaborated social networks. This collaboration has resulted in a collective large amount of data in the fields of commerce, tourism, education, and health and thus created a hike in the growth of the web. The extraction of information from this unstructured dataset is a difficult task and has paved the pathway for the usage of emerging advanced technologies, such as Artificial Intelligence, Big Data, and Natural Language Processing, from the domain of Computer Science and Technology. Tourism is among one of the top rising industries that create the potential for global wealth and employment; hence, we need smart, actionable solutions to draw insights on marketing campaigns and the interest of the visitor. The decisions based on the evidence of analytics of number-driven data can help the players of the tourism industry in identifying the potential sectors in the field of tourism and hospitality.
In this context, this Special Issue focuses on the novel approaches of Big Data, Artificial Intelligence, and Natural Language processing along with Affective Reasoning and Sentiment Analysis. The tourism industry is among the industries that have adopted the emerging technologies at a good pace and are working towards the light of achieving a reduction in time and money. A key motivation for this Special Issue is to explore the adoption of novel effective reasoning frameworks and learning systems based on these technologies to go beyond a mere word-level analysis of natural language text. The Special Issue thus invites the articles depicting the novel concept that generates a more efficient passage from unstructured natural language to knowledge informative data for predictive decision in the field of Tourism and Hospitality. Articles are thus invited on the Development of Tourism using Emerging Technologies, Analysis on after effect of the pandemic on tourism through Machine Learning, Sentiment Analysis, and Emotional Intelligence with the following topics but not limited to:
- Emotion Mining of Social Media for Tourism;
- Personalized Recommendations for Effective Tourism using Artificial Intelligence;
- Sentiment Analysis of Tourist Blogs;
- The current state of Big Data Research in Tourism Post-Pandemic: Big Data Analytics in Tourism and Hospitality;
- Role of Para-social interaction in Tourism;
- Revenue Management in Tourism and Hospitality;
- Facial Recognition in Tourism using AI;
- Augmented Reality and AI Trends in Travel Industry;
- Smart Baggage Handling;
- Sentiment Analysis in Hospitality and Tourism;
- Recommendation System based on Topic Modeling and Sentiment Analysis;
- Text Analytics and Tourism.
Dr. Amit Kumar Mishra
Dr. Alfonso González-Briones
Prof. Dr. Juan M. Corchado
Guest Editors
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