Results 91 to 100 of about 2,128 (194)
Analyzing OSHA Construction Accident Reports Using BERTopic Topic Modeling for Thematic Insights
Hazards at construction sites can lead to severe accidents, posing significant risks to worker safety, financial stability, and public confidence in industry safety standards.
Yuntao Cao +6 more
doaj +1 more source
Improving Arabic Cognitive Distortion Classification in Twitter using BERTopic [PDF]
Fatima Alhaj +3 more
openaire +1 more source
Análise de conteúdos curriculares com BERTopic numa perspectiva interdisciplinar
A interdisciplinaridade desafia os educadores a repensar suas abordagens educacionais, visando integrar conhecimentos e métodos de diferentes disciplinas para promover uma compreensão mais holística e significativa dos tópicos de estudo. Este trabalho tem como objetivo utilizar e avaliar a técnica BERTopic na modelagem de tópicos, clusterização e ...
Antonio Miguel Faustini Zarth +1 more
openaire +2 more sources
This research was conducted to aid hotels in identifying and enhancing the hotel selection attributes that customers deem important for maintaining revenue and competitive advantage. Departing from conventional survey methods, we utilized BERTopic on the
Jun Li, Byunghyun Lee, Jaekyeong Kim
doaj +1 more source
This study leverages the BERTopic algorithm to analyze the evolution of research within precision agriculture, identifying 37 distinct topics categorized into eight subfields: Data Analysis, IoT, UAVs, Soil and Water Management, Crop and Pest Management,
Yang Liu, Fanghao Wan
doaj +1 more source
Neural topic modeling with BERTopic
This thesis provides insights into the BERTopic framework for topic modeling by examining sub-model selection and aims to retrieve and assess evaluation metrics specific to neural topic models developed in current literature. It gathers sub-model selection factors of the various sub models—embedding, dimensionality reduction, clustering, and ...
openaire +1 more source
This study presents a comprehensive exploration of topic modeling methods tailored for large language model (LLM) using data obtained from Web of Science and LexisNexis from June 1, 2020, to December 31, 2023. The data collection process involved queries
Hae Sun Jung +4 more
doaj +1 more source
FinTextSim: a domain-specific sentence-transformer for extracting predictive latent topics from financial disclosures. [PDF]
Jehnen S +2 more
europepmc +1 more source
What drives EBSA across contexts? evidence from China using BERTopic. [PDF]
Chen H.
europepmc +1 more source

