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To understand the experiences, expectations and suggestions of digital nomads towards intangible cultural heritage in the places they travel.

The qualitative research method was used and the research design is a phenomenological design. Multiple qualitative research design steps were followed in obtaining the research data. In this context, online interviews were conducted with a semi-structured interview form developed by the researchers, and the social media accounts of digital nomads were monitored. The sample consists of nine digital nomads who were interviewed online and five digital nomads whose videos and comments shared on social media were monitored. The inductive thematic analysis method was used to analyse the data.

It was found that digital nomads experience intangible cultural heritage elements, especially religious rituals and food culture, and actively participate in activities and rituals related to these elements as well as sharing them on their social media accounts. It was also concluded that the participants expected to work towards the protection of intangible cultural heritage elements through a number of activities such as awareness-raising and education, and that it is difficult to experience cultural heritage in societies that are not foreign-friendly.

The data were obtained from volunteer participants consisting of digital nomads and digital nomads who shared their experiences on social media. It is suggested that traditional food and religious rituals as intangible cultural heritage should be promoted and transferred by sharing the experiences these digital nomads on digital platforms.

Religious rituals and food cultures are prominent in the ICH experiences of digital nomads. Digital nomads who stay longer in their destination than tourists can play an intermediary role in promoting and transmitting this heritage. The social media and other digital platforms enable digital nomads to share their experiences of cultural heritage and create a global dialogue and understanding through these experiences.

The experiences and expectations of digital nomads towards ICH require a reassessment of traditional approaches to the preservation and transmission of cultural heritage. By experiencing different cultural heritages and sharing these experiences through digital platforms, digital nomads contribute to the reinterpretation and reproduction of cultural heritage. This process reveals that cultural heritage is not limited to a particular community or geography, but is rather a global phenomenon, and therefore needs to be addressed from a global perspective.

It is one of the pioneering studies on the experiences of digital nomads towards intangible cultural heritage.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.