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Aficionados of wine festivals, a component of wine tourism experience, engage in vigorous online discussions that influence fellow travelers’ purchase behaviors. This study aims to delve into these overlooked discussions, identifying emotions, topics and assessing their usefulness in TripAdvisor’s Travel Forums for two US wine festivals: Taste of Yountville and Epcot International Food and Wine Festival, located in traditional and nontraditional wine tourism destinations.

The study uses state-of-art sentiment analysis and topic modeling methods to extract emotions and underlying latent topics in travel forum discussions. Drawing from information theory, two regression analyses are performed on 10,677 forum posts to examine how the extracted Ekman’s emotions and key underlying topics influence the helpfulness of wine forum posts for each festival.

While three topics were identified in Epcot and four in Yountville, both festival platforms highlight travelers’ common preferences for “culinary experience” and “planning” attributes but reveal notable differences in their utility. Other shared novel findings include the importance of “anger” and “surprise” emotions on the helpfulness of forum posts.

These findings enhance wine festival managers’ and destination planners’ understanding of online travelers’ preferences and cognitive evaluation of user-generated contents’ usefulness. This marketing intelligence informs strategies for boosting the wine destination’s economic development.

This research offers a novel comparative analysis of social media on wine festival tourism experiences in diverse regions. Unlike hotel reviews, typically posted after consumption, forums offer unique and broader perspectives on discussions before, during, and after experiencing the wine festival.

In 2020, the IFRS Foundation’s public consultation on Sustainability Reporting provided an opportunity for stakeholders to share their opinions on the Foundation’s proposals. This paper aims to analyze the comment letters that would legitimize the IFRS Foundation to institutionalize the International Sustainability Standards Board (ISSB).

This study used Python to develop a model for analyzing all 577 submissions that the IFRS Foundation received, using a combination of quantitative and qualitative content analysis methods.

Support for the creation of the ISSB was not unanimous but reached 68%. Key supporting arguments were that the IFRS Foundation could harmonize sustainability reporting standards by leveraging its expertise in setting accounting standards, and use its existing relationships to enforce sustainability reporting. Key counterarguments were: the IFRS Foundation lacks expertise in the areas of sustainability and climate; sustainability reporting should be integrated into financial reporting rather than being disclosed separately; the proposals were limited in scope (single materiality, focus on investors’ information needs and climate change centrism); and the IFRS Foundation should aim to endorse already established frameworks instead.

A consensus between supporters and critics was the need to make sustainability reporting mandatory. Endorsed by IOSCO, the ISSB released its inaugural standards, focusing on climate-related disclosures, effective from 2024 in jurisdictions that choose to adopt them.

The findings show that the establishment of the ISSB by the IFRS Foundation only partially fulfilled the demand for the harmonization of sustainability reporting standards. As a result, broader and non-investor-centric sustainability information may continue to be reported under alternative frameworks.

This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques.

This study explores a substantial large data set of 330,399 user reviews available in the form of unstructured textual data from neobanking mobile applications. This study is aimed to extract meaningful patterns, topics, sentiments and themes from the data.

The results show that the success of neobanking mobile applications depends on user experience, security features, personalised services and technological innovation.

This study is limited to textual resources available in the public domain, and hence may not present the entire range of user experiences. Further studies should incorporate a wider range of data sources and investigate the impact of regional disparities on user preferences.

This study provides actionable ideas for neobanking service providers, enabling them to improve service quality and mobile application user experience by integrating customer input and the latest trends. These results can offer important inputs to the process of user interaction design, implementation of new features and customer support services.

This study uses text mining approaches to analyse neobanking mobile applications, which further contribute to the growing literature on digital banking and FinTech. This study offers a unique view of consumer behaviour and preferences in the realm of digital banking, which will add to the literature on the quality of service concerning mobile applications.

This study investigates consumer perspectives on cultural appropriation in the fashion industry by analysing user-generated content on Douyin.

Using text-mining techniques, including topic modeling and sentiment analysis, 6,584 comments related to the Dior midi-length skirt controversy were analyzed to identify key themes and sentiments.

The study reveals that cultural appropriation elicits polarized responses. Positive themes, such as cultural appreciation, innovation and global exposure, highlight consumer approval of respectful and creative integration of cultural elements. Negative themes, including cultural theft, historical inaccuracy and commercial exploitation, underscore concerns about commodification and misuse of cultural symbols.

Fashion brands should prioritize cultural sensitivity by collaborating with cultural communities, ensuring historical accuracy and promoting ethical engagement with cultural symbols. Proactively addressing these issues through real-time consumer feedback can help mitigate backlash, foster trust and enhance brand equity.

This study advances the discourse on cultural appropriation by leveraging real-time user-generated content to provide actionable insights for ethical practices in the fashion industry.

This study aims to explore the relationship between wine label content and consumer reviews on Vivino, focusing on how label information compares to consumer perceptions and purchase decisions.

The research uses text mining, image mining and topic modeling techniques to analyze a data set of 444 highly rated Portuguese wines and 993,945 consumer reviews from Vivino. It examines the overlap between topics discussed in consumer reviews and the information provided on wine labels.

The findings reveal that wine labels have a limited similarity with consumer reviews. While consumer reviews primarily emphasize sensory characteristics like fruitiness and tannins, wine labels focus more on descriptive and technical information.

This research provides new insights into the dynamic relationship between wine labeling and consumer behavior. By analyzing the alignment between traditional wine labels and online consumer reviews, the study offers valuable implications for wineries seeking to optimize label design to match consumer preferences, particularly sensory attributes better. This study extends existing research and highlights critical gaps in how wine labels convey essential sensory information to consumers.

The study examines the characteristics and development trends of female entrepreneurship publications, cooperation networks between countries, journals and individuals, intellectual structure of female entrepreneurship studies in Africa and hot research topics. Future comparative studies in different contexts and interdisciplinary collaboration can enrich the understanding about female entrepreneurship research.

The authors used text mining to analyze 130 peer-reviewed articles published from 1975 to 2022 for keywords and classify them into eight main classes: (1) Paradoxical space and informality, (2) work–family conflict, (3) women's entrepreneurial identity and networking, (4) rural women's entrepreneurial activities in the agricultural sector, (5) religious belief and women's entrepreneurial practice, (6) financial trap and environmental challenges, (7) women's entrepreneurial intentions and capacity building and (8) women in cultural entrepreneurship.

Female entrepreneurship publications develop significantly. Since 1975, African female entrepreneurship study has grown. Results show 130 publications from 1975 to 2023, with two papers published yearly in 2006–2011 and 23 in 2023, indicating growing interest. Paradoxical space and informality, work–family conflict, women's entrepreneurial identity and networking, religious belief and practice, financial trap and environmental challenges and entrepreneurial intentions and capacity building were hot topics identified by topic modeling analysis.

Female entrepreneurs have looser intellectual networks. Nation, organization and researcher communication is inadequate. Collaborating researchers from different universities and countries may develop the field.

This study is more data-driven and less biased than earlier reviews because it is based on thousands of citation data rather than a small number of papers pre-selected by the researchers. Displaying the field's structure and evolution enhances previous reviews.

This study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.

A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.

The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.

The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.

Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.

The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.

This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

This study examines the role of online customer reviews through text mining and sentiment analysis to improve customer satisfaction across various services within the UK banking sector. Additionally, the study analyses sentiment trends over a five-year period.

Using DistilBERT and Support Vector Machine algorithms, customer sentiments were assessed through an analysis of 20,137 Trustpilot reviews of HSBC, Santander, and Tesco Bank from 2018 to 2023. Data pre-processing steps were implemented to ensure data integrity and minimize noise.

Both positive and negative sentiments provide valuable insights. The results indicate a high prevalence of negative sentiments related to customer service and communication, with HSBC and Santander receiving 90.8% and 89.7% negative feedback, respectively, compared to Tesco Bank’s 66.8%. Key areas for improvement include HSBC’s credit card services and call center efficiency, which experienced increased negative feedback during the COVID-19 pandemic. The findings also demonstrate that DistilBERT excelled in categorizing reviews, while the SVM model, when combined with customer ratings, achieved 96% accuracy in sentiment analysis.

This study focuses on UK bank consumers of HSBC, Santander, and Tesco Bank. A multi-country or cross-cultural study may further enhance our understanding of the approaches and findings.

Online customer reviews become more informative when categorised by service sector. To enhance customer satisfaction, bank managers should pay attention to both positive and negative reviews, and track trends over time.

The uniqueness of this study lies in its exploration of the importance of categorisation in text-mining-based sentiment analysis, its focus on the influence of both positive and negative sentiments, and its emphasis on tracking sentiment trends over time.

The ageing and disabled population is fast growing, which emphasises the need to effectively modify current homes and environments to support healthy ageing and increasingly diverse health needs. This paper aims to bring together findings and analyses from three adaptations-focussed projects, drawing on perspectives from key stakeholders alongside the lived experiences of service users acquiring adaptations.

Following an Adaptations Framework developed from interviews and focus groups with older people and key stakeholders, the paper discusses barriers experienced by older people and front-line workers in receiving and delivering adaptations through all stages of the process.

This paper reveals how experiences around adaptations might diverge with unseen, hidden investment and need amongst individuals, and how conceptual and cost-focussed evidence gaps impact wider understandings of adaptations delivery. In so doing, this paper highlights how the adaptations process is perceived as a “fight” that does not work smoothly for either those delivering or receiving adaptations services.

The paper suggests a systematic failure such that the adaptations process needs to be rehauled, reset and prioritised within social and public policy if the housing, health and social care sectors are to support healthy ageing and prepare for the future ageing population.

The paper brings together insights from key stakeholders alongside service users' experiences of adaptations to highlight key policy drivers and barriers to accessing and delivering adaptations.

This study systematically reviews the research landscape of humanitarian financing, identifying key themes and pathways to foster a resilient humanitarian value ecosystem.

A systematic review using BERTopic analysed 1,043 academic publications from the Web of Science database to uncover major themes in humanitarian financing literature.

Six core themes emerged from the study: Disaster Risk and Climate Change Resilience, Refugee Crises and Humanitarian Health Services, Preparedness and Response to Health Emergencies, Supply Chain and Logistics Fundraising, Food Security and Nutrition Insecurity and Global Health Challenges and Disease Control. The study highlights the role of financing in addressing short-term needs and promoting long-term systemic resilience, such as disaster preparedness, healthcare systems and food security.

This study provides a comprehensive overview of key research trends in humanitarian financing. However, the reliance on academic literature limits the inclusion of insights from grey literature and practitioner reports. Future studies should adopt broader data sources and interdisciplinary approaches.

Findings underscore the importance of integrating emergency funds with long-term resilience investments, enhancing financial transparency and advocating innovations to optimise humanitarian operations.

The study advocates for interdisciplinary approaches and policies connecting disaster risk reduction, healthcare, climate resilience and food security to build a sustainable humanitarian ecosystem.

This review proposes a novel conceptual framework based on a systematic review of literature using BERTopic, offering actionable insights into the role of humanitarian financing in addressing global crises and promoting resilience.