Multilingual Transformer and BERTopic for Short Text Topic Modeling: The Case of Serbian
This paper presents the results of the first application of BERTopic, a state-of-the-art topic modeling technique, to short text written in a morphologi-cally rich language. We applied BERTopic with three multilingual embed-ding models on two levels of text preprocessing (partial and full) to evalu-ate its performance on partially preprocessed short ...
Darija Medvecki +3 more
openaire +2 more sources
From LDA to BERTopic: Evaluating Topic Modelling Methods for Aviation Safety Reports in Brazilian Portuguese [PDF]
This study applies five different topic models to aviation safety reports in Brazilian Portuguese. The techniques explored are Latent Dirichlet Allocation (LDA), LDA with stemming, a cross-language model which translates the texts to English and then ...
da Silva de Oliveira, Priscila Cristina
core
Cancer Health Disparity with BERTopic Modelling and PyCaret Evaluation
, 2022 The complex interplay of social, behavioural, lifestyle, environmental, health system, and natural health variables contribute to disparities in cancer treatment across racial and ethnic groups. Consequently, it is necessary to identify the variables contributing to cancer health inequalities and develop strategies to achieve health equality.
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Shifts in dental trauma research (2000-2025): a literature-based thematic analysis using topic modeling. [PDF]
BMC Oral HealthGuller MT +5 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
From reductionism to complex systems: Paradigm shift and knowledge evolution in competitive sports research using BERTopic. [PDF]
PLoS OnePan L.
europepmc +1 more source
A Comparative Study with LDA and BERTopic: AI Policies Across Different Democracy Indexes [PDF]
In times of global political instability, paired with an evolving and experimental phase in artificial intelligence, the future of AI remains unclear.
Telešova, Gabija, Söderwall, Anne
core
Past, present, and future of virtual reality-based biological science education (2010-2025): a BERTopic-driven analysis. [PDF]
BMC Med EducXian J, Wu JG.
europepmc +1 more source
STED: flexible cross-modal topic modeling infers cell-type-specific regulatory landscapes from bulk epigenomics. [PDF]
Brief BioinformLiao Y, Zhao D.
europepmc +1 more source
FinTextSim: a domain-specific sentence-transformer for extracting predictive latent topics from financial disclosures. [PDF]
Front Artif IntellJehnen S +2 more
europepmc +1 more source