Brainstorming is an important part of the design thinking process since it encourages creativity and innovation through bringing together diverse viewpoints. However, traditional brainstorming practices face challenges such as the management of large...
With the continuous influx of application software onto the application software market, achieving accurate software recommendations for users in the huge software application market is urgent. To address this issue, each application software market...
Peatlands comprise approximately 3% of the land area worldwide. Peatland exists in most countries, including tropical, subtropical, and boreal regions. Accordingly, peatland has garnered increased research attention as a potential countermeasure agai...
Hazards at construction sites can lead to severe accidents, posing significant risks to worker safety, financial stability, and public confidence in industry safety standards. As a result, understanding and preventing these accidents has become incre...
Air pollution governance is crucial to China’s sustainable development, and the complexity of the low-carbon transition necessitates a systematic assessment of the evolving policy landscape. This study constructs a large-scale corpus of air pol...
Aviation safety analysis increasingly relies on extracting actionable insights from narrative incident reports to support risk identification and improve operational safety. Topic modeling techniques such as Probabilistic Latent Semantic Analysis (pL...
The dark web is a part of the deep web that ensures anonymity to users, thus facilitating various malicious activities, such as the sales of drugs, firearms, and personal information or the dissemination of malware and cyberattack tools. These activi...
Prior research has emphasized individual patent characteristics in identifying the awakening of sleeping beauty patents (SBPs) that remain unnoticed for long periods before suddenly attracting substantial attention. However, less attention has been p...
This study conceptualizes RE100 not merely as a voluntary corporate campaign, but as an evolving socio-technical system that intersects with South Korea’s path-dependent energy regime. Applying BERTopic to a comprehensive corpus of 21,901 raw n...
To unveil the underlying risk structures in complex industrial systems, this paper proposes a hybrid analytical framework that integrates BERTopic modeling, a large language model (LLM), and social network analysis (SNA). This framework aims to extra...
Artificial Intelligence (AI) is increasingly embedded in project management within the financial sector, yet existing research remains fragmented and largely focused on isolated technical applications. A systemic understanding of how AI reshapes fina...
Background: The increasing rate of intensive care unit (ICU) readmissions poses significant challenges in healthcare, impacting both costs and patient outcomes. Predicting patient readmission after discharge is crucial for improving medical quality a...
As social media (SM) becomes increasingly prevalent, its impact on society is expected to grow accordingly. While SM has brought positive transformations, it has also amplified pre-existing issues such as misinformation, echo chambers, manipulation,...
Under the premise of resource constraint, it is crucial to identify the product innovation opportunities contained in failed patents through external search in order to compensate for the shortcomings of enterprises’ own technology. Due to the...
Despite technological developments and increasing awareness in the field of occupational health and safety, occupational accidents remain one of the fundamental problems that continue to have significant economic and social consequences. Particularly...
Heart failure remains a leading cause of mortality worldwide, particularly within Intensive Care Unit (ICU)-patient populations. This study introduces an innovative approach to predicting ICU mortality by seamlessly integrating electronic health reco...
Cyber Threat Intelligence (CTI) reports are essential resources for identifying the Tactics, Techniques, and Procedures (TTPs) of hackers and cyber threat actors. However, these reports are often lengthy and unstructured, which limits their suitabili...
Heraclitus’ phrase “everything flows and nothing remains” perfectly captures the modern era, as conditions are changing at high speed and scientific knowledge is growing exponentially. Academic fields that attract significant attent...
Problem: Amid digital disruption and the cross-fertilization of RBV, DCV, and KBV, strategic management knowledge has grown fragmented with blurred boundaries. Conventional mapping (citation/co-word, LDA) lacks semantic and temporal resolution, obscu...
As critical energy infrastructure, gas pipeline networks play an essential role in maintaining stable energy supply and supporting energy infrastructure sustainability. However, accident reports are characterized by dispersed data sources, highly uns...
Background/Objectives: The aim of this study is to map the thematic structure of physiology-related postgraduate theses completed in Türkiye between 1986 and 2025 using a BERTopic-based neural topic modelling approach, and to examine the long-te...
Background: Q&A corpora generated through university student–AI mental health support tools may reveal how physical activity (PA) and psychosocial themes are represented in support-oriented text. However, the absence of individual-level dem...
This study investigates the temporal evolution of e-commerce research topics from 1996 to 2025 using a reproducible semantic–temporal framework that combines a fixed-seed K = 20 BERTopic specification with adjacent-year Pearson correlation coef...
Quantitative portfolio optimization has accelerated sharply since 2018, with deep learning and reinforcement learning agents now competing with the mean–variance framework that defined six decades of research. Existing narrative reviews struggl...
Structural equation modeling (SEM) studies commonly derive constructs and paths from the manually reviewed literature. Expert judgment remains essential, but incomplete coverage and undocumented selection decisions can make this stage difficult to ev...
The convergence of agricultural biotechnology and artificial intelligence is reshaping modern crop improvement. Despite a surge of studies integrating artificial intelligence and biotechnology, the rapidly expanding literature on intelligent crop bre...
Advances in artificial intelligence (AI) are revolutionizing agriculture through applications in crop monitoring, precision agriculture, automation, and environmental management. With the rapid development of AI in agriculture, there is an increasing...
9 April 2026
Automated customer service and algorithmic governance are common in digital marketplaces, yet trust can erode when logistics, refunds, and escalation fail. Complaint-based risk and trust narratives in Turkey’s e-commerce marketplaces are analyz...
Enhancing blue infrastructure is a critical pathway to strengthening urban water resilience and improving living environments. However, divergent perceptions and demands among multiple stakeholders may lead to misalignment between governance prioriti...
This paper explores the intersection of blockchain technology and smart cities to support the transition toward decentralized, secure, and sustainable urban systems. Drawing on co-word analysis and BERTopic modeling applied to the literature publishe...
The disposability of clothing has emerged as a critical concern, precipitating waste accumulation due to product quality degradation. Such consequences exert significant pressure on resources and challenge sustainability efforts. In response, this re...
Based on the BERTopic model, this study analyzes 15,744 scientific papers in the field of functional agriculture from 1995 to 2024 to uncover core themes and evolutionary trends in global functional agriculture, and particularly focuses on revealing...
Intangible cultural heritage incorporates the living practices, expressions, and knowledge systems recognized by communities worldwide. Over the past decade, the increase in ICH research across diverse disciplines has made it difficult to conduct lit...
Achieving the Sustainable Development Goals requires intangible cultural heritage (ICH) policies that safeguard living heritage while enabling inclusive participation, capacity building, responsible use, and resilience. We introduce a reproducible, t...
This research investigates the impacts of pre-processing techniques on the effectiveness of topic modeling algorithms for Arabic texts, focusing on a comparison between BERTopic, Latent Dirichlet Allocation (LDA), and Non-Negative Matrix Factorizatio...
Reflective writing is a relevant aspect of pre-service teachers’ professionalization. Evaluating reflective writing in teacher education is demanding due to a shortage of resources. Hence, this study explores the practical possibilities of eval...
As a core component of clean energy technology, proton exchange membrane fuel cells (PEMFC) play a crucial role in promoting the evolution of energy structures and realizing sustainable development, representing an environmentally friendly energy con...
Understanding and monitoring soil organic carbon (SOC) stocks is crucial for ecosystem carbon cycling, services, and addressing global environmental challenges. This study employs the BERTopic model and bibliometric trend analysis exploration to comp...
In light of the accelerated growth of artificial intelligence (AI), large language models (LLMs) have become a central topic of interest in scientific research and practical applications across various fields. The present paper aims to perform a comp...
In the post-Olympic era, China’s ice and snow tourism is shifting toward an experience-oriented model. Taking the Chongli Ice and Snow Tourism Resort as a case study, this research applies a BERTopic-LLM framework, BERT-based sentiment analysis...
7 August 2026
Social Q&A platforms produce short, noisy, and highly diverse user questions, making coarse topic labels insufficient for accurate information organization. This study proposes a dynamic seed topic construction and multi-demand topic identificati...
Background: Artificial intelligence poses a critical challenge to the authenticity of journalistic documents. Objectives: This research proposes a method to automatically identify AI-generated news articles based on various stylistic features. Method...
The ALICE (A Large Ion Collider Experiment) detector at the Large Hadron Collider (LHC), operated by the European Organization for Nuclear Research (CERN), is dedicated to heavy-ion collisions. Within ALICE, the application logs of the online computi...
News impact analysis has become a common task conducted by finance researchers, which involves reading and selecting news articles based on themes and sentiments, pairing news events and relevant stocks, and measuring the impact of selected news on s...
The COVID-19 pandemic reshaped travel patterns and customer expectations, generating profound challenges for the hotel industry. This study analyzes 50,000 TripAdvisor reviews of New York hotels to examine how customer satisfaction with hotel selecti...
Accidents in process industries continue to cause severe casualties, and a small number of events account for a large share of fatalities. This study proposes a Topic–Hierarchy Coincidence Analysis (T-H CNA) framework to identify condition comb...
User-generated content (UGC) offers large-scale, naturalistic data for examining tourism destination image. Focusing on the Historic Centre of Macao (HCM), a World Cultural Heritage site, this study collected 3781 tourist reviews from Rednote, Ctrip,...
The urban heat island (UHI) effect, intensified by urbanisation and climate change, leads to increased urban temperatures and poses a serious environmental challenge. Understanding its causes, impacts, and mitigation strategies is essential for susta...
This study proposes a systematic methodology integrating Bidirectional Encoder Representations from Transformers (BERT)-based topic modeling (BERTopic) with the ISO/IEC 25010:2011 product quality model to evaluate and prioritize software quality char...
Identifying sparse, context-dependent target discourse such as ethical risk discourse on generative AI in noisy social media data is a long-standing challenge in computational text analysis. Beyond classification, interpreting the resulting topic str...
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