Indonesian Hoax News Classification with Multilingual Transformer Model and BERTopic
Leonnardo Benjamin Hutama +1 more
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Exploiting topic analysis models to explore psychological dimensions in social media data. [PDF]
Couto M, Parapar J, Losada DE.
europepmc +1 more source
Knowledge flows from science to AI technology: Identifying core and brokerage technological roles. [PDF]
Lee S, Hur J, Hwang J, Kogler DF, Kim K.
europepmc +1 more source
5 Years of bipolar disorder conversations on Reddit: Methods, key topics and future directions. [PDF]
Poh C +6 more
europepmc +1 more source
An Experimental Assessment of the Efficacy of BERTopic
Topic modelling is an unsupervised machine-learning technique for finding abstract topics in a large collection of documents. It helps in organizing, understanding, and summarizing large collections of textual information while discovering the latent topics that vary among documents in a given corpus.
openaire +1 more source
Latent obstacles in older adults' digital health participation: a community-based hybrid cluster analysis with natural language processing. [PDF]
Liu T, Luo YT, Pang PC, Wong D, Wang Y.
europepmc +1 more source
Accurate Evaluation and Forecasting in Chemotherapy-Related Information Needs of People With Breast Cancer: Insights From an Online Medical Consultation Platform. [PDF]
Lin S +6 more
europepmc +1 more source
Modeling the evolution of virtual reality in nursing education: a BERTopic-based analysis of research trends and future directions. [PDF]
Xian J, Wu JG, Lee SM.
europepmc +1 more source
Application of text mining and causal analysis for risk identification in air traffic control safety operations. [PDF]
Wang Z, Wang Y, Shi Z, Zhang H, Liu X.
europepmc +1 more source
Advanced topic modeling with large language models: analyzing social media content from dementia caregivers. [PDF]
He W +10 more
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