Artificial intelligence−driven analysis identifies arthroscopic shoulder surgery, meniscus injury and treatment, and total knee arthroplasty design biomechanics as the most commonly published topics in Knee Surgery, Sports Traumatology, Arthroscopy [PDF]
Journal of Experimental OrthopaedicsPurpose To utilize advanced topic modelling through the Bidirectional Encoder Representations from Transformers Topic (BERTopic) model to investigate research topics in the journal Knee Surgery, Sports Traumatology, Arthroscopy (KSSTA).
Henry Baird +6 more
doaj +2 more sources
Public feedback analysis on multi-stage emergency management policies using BERTopic-SKEP integrated model [PDF]
Scientific ReportsUnderstanding public feedback across multi-stage emergency manaquerygement policies is critical for enhancing disaster governance efficacy. This study proposes an integrated deep learning framework combining BERTopic topic modeling and SKEP sentiment ...
Cui Li, Qiyu Tian, Lei Gao, Hao Liu
doaj +2 more sources
Measurement and evolution of government attention to the health industry in China based on the BERTopic model. [PDF]
PLoS OneObjectives This paper aims to measure the government’s attention to the health industry accurately, which is crucial for understanding policy directions and resource allocation strategies.
Jin J, Du H, Liu Z.
europepmc +2 more sources
Journal of Applied Informatics and ComputingThe Free Nutritious Meal Program (Makan Bergizi Gratis), represents a significant national effort aimed at mitigating stunting rates in Indonesia, having commenced its operations in January 2025.
Widya Wahyuni +3 more
doaj +2 more sources
PLoS ONEThis study aims to enhance governmental decision-making by leveraging advanced topic modeling algorithms to analyze public letters on the "People Call Me" online government inquiry platform in Zhejiang Province, China.
Zhuoyuan Tang, Xuan Pan, Zhouyi Gu
doaj +2 more sources
Semantic Topic Modeling of Aviation Safety Reports: A Comparative Analysis Using BERTopic and PLSA
AerospaceAviation safety analysis increasingly relies on extracting actionable insights from narrative incident reports to support risk identification and improve operational safety.
Aziida Nanyonga +3 more
doaj +2 more sources
Investigating mental wellbeing self-care in higher education using BERTopic modeling. [PDF]
Discov Ment HealthAbstract Addressing the mental wellbeing of higher education students is urgent, given rising distress rates and significant help-seeking gaps. Students face various life challenges ranging from academic pressure and career concerns to global issues like climate change, all of which may negatively impact their mental wellbeing.
Ali M +6 more
europepmc +2 more sources
BERTopic: Neural topic modeling with a class-based TF-IDF procedure [PDF]
arXiv.org, 2022 Topic models can be useful tools to discover latent topics in collections of documents. Recent studies have shown the feasibility of approach topic modeling as a clustering task.
M. Grootendorst
semanticscholar +1 more source
Recommending the right academic programs: an interest mining approach using BERTopic
Data Mining and Knowledge DiscoveryProspective students face the challenging task of selecting a university program that will shape their academic and professional careers. For decision-makers and support services, it is often time-consuming and extremely difficult to match personal ...
Alessandro Hill +2 more
semanticscholar +3 more sources
Evaluation of unsupervised static topic models’ emergence detection ability [PDF]
PeerJ Computer ScienceDetecting emerging topics is crucial for understanding research trends, technological advancements, and shifts in public discourse. While unsupervised topic modeling techniques such as Latent Dirichlet allocation (LDA), BERTopic, and CoWords clustering ...
Xue Li +5 more
doaj +3 more sources