A5027376496- Diverse Aspects of Tourism Research
- Digital Marketing and Social Media
- Human Mobility and Location-Based Analysis
- Customer Service Quality and Loyalty
- Wine Industry and Tourism
- Consumer Behavior in Brand Consumption and Identification
- Sport and Mega-Event Impacts
- Sharing Economy and Platforms
- Culinary Culture and Tourism
- Data Mining Algorithms and Applications
- Economic and Environmental Valuation
- Privacy, Security, and Data Protection
- COVID-19 and Mental Health
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Museums and Cultural Heritage
- Image Retrieval and Classification Techniques
- Mental Health Research Topics
- Remote-Sensing Image Classification
- Digital Mental Health Interventions
- Smart Cities and Technologies
- Youth Development and Social Support
- Multi-Criteria Decision Making
- Mental Health via Writing
- Hospitality and Tourism Education
Deakin University
2010-2023
Stony Brook University
2021-2023
University of Michigan
2022
Systems Analytics (United States)
2020
Victoria University
2016-2020
Central Queensland University
2018-2019
Dynamic Systems (United States)
2011
San Diego State University
2011
Naval Information Warfare Center Pacific
2011
Approaches to traditional travel diary construction rely on tourist participation and manual recording; hence, they are not only time-consuming but also limited in the scale number of samples. Online social network platforms have been used as alternative data sources for capturing movements patterns tourists at a large scale. However, fail provide detailed contextual information activities further analysis. In this paper, we present new approach based venue check-in available mobile media...
Mental health predictive systems typically model language as if from a single context (e.g. Twitter posts, status updates, or forum posts) and often limited to level of analysis either the message-level user-level). Here, we bring these pieces together explore use open-vocabulary (BERT embeddings, topics) theoretical features (emotional expression lexica, personality) for task suicide risk assessment on support forums (the CLPsych-2019 Shared Task). We used dual based approaches (modeling...
Understanding and being able to measure, analyze, compare, contrast the image of a tourism destination, also known as destination (TDI), is critical in management marketing. Although various methodologies have been developed, consistent, reliable, scalable method for measuring TDI still unavailable. This study aims address challenge by proposing framework holistic measure four dimensions, including popularity, sentiment, time, location. A structural model measurement that covers aspects...
This study introduces topic modelling into the analysis of theme park online reviews to determine visitor behaviour and experiences. An exploratory involving major Disneyland parks is presented using a large-scale review data set. A comprehensive list topics discussed by visitors when visiting constructed. Insights interests concerns various groups across are revealed. The proposed approach findings beneficial support managers in understanding visitors’ perception, through which effective...
Because of the inefficiency in analyzing comprehensive travel data, tourism managers are facing challenge gaining insights into travelers’ behavior and preferences. In most cases, existing techniques incapable capturing sequential patterns hidden data. To address these issues, this article proposes to analyze through geotagged photos rule mining. Travel diaries, constructed from photo sequences, can capture information, then be discovered infer potential destinations. The effectiveness...
This research introduces online travel photos published on social media platforms as a complementary data resource to examine the behavior and experience of museum visitors. The practical value is demonstrated through case study popular Hong Kong museums, particularly by using photo content metadata available from Flickr platform. proposed approach generic method for understanding visitor preferences, supports practitioners in developing improved products findings are beneficial tourism...
COVID-19 has wreaked havoc worldwide. Schools have escaped neither the pandemic nor its consequences. Indeed, by April 2020, schools had been suspended in 189 countries, affecting 89% of learners globally. While Australian government implemented variously effective health and economic policies response to COVID-19, their inability agree with states on education policy during caused considerable confusion anxiety. Accordingly, this study analyses 3 weeks Tweets April, leading up beginning...
ABSTRACT With the prevalence of social media and Web 2.0, online visual contents such as photos or videos have quickly evolved into one popular information-disseminating channel for hotel managers travelers. The current study aims to obtain a comprehensive understanding preconceptions reflected in posted by This paper presents novel approach photo content analysis based on deep learning theory computer vision framework, which can comprehensively analyze large-scale datasets. We demonstrate...
Insights into the activity preferences of specific tourist groups are crucial for tourism practitioners in developing appropriate travel packages that attract tourists and meet their expectations. Tourist activities across different countries often vary depending on what these destinations can offer. Existing attempts to obtain comprehensive information multiple fail because limitations traditional data collection approaches, which heavily reliant surveys questionnaires. This study proposes...
The availability of location-based social media (LBSM) presents various opportunities for tourism researchers and businesses to understand enhance the traveller experience. However, privacy concerns can prevent users from sharing their location data, impeding future development LBSM applications. Privacy issues remain under investigation in literature probably because platforms are often assumed feature good security mechanisms. This paper argues that risks disclosure exist not direct access...
Identification of hotel competitiveness is crucial for managers in developing effective marketing strategies and promoting their business. A common practice representing to advertise features with high customer ratings as selling points. However, this approach ineffective clearly distinguish top-tier hotels similar ratings, while low-tier are disadvantaged because low ratings. This study presents a new evaluation by identifying the unique aspects that combine multiple features. The proposed...