An integrated clustering and BERT framework for improved topic modeling

Topic modelling is a machine learning technique that is extensively used in Natural Language Processing (NLP) applications to infer topics within unstructured textual data. Latent Dirichlet Allocation (LDA) is one of the most used topic modeling techniques that can automatically detect topics from a...

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Detalles Bibliográficos
Autores principales: George, Lijimol, Sumathy, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163298/
https://www.ncbi.nlm.nih.gov/pubmed/37256029
http://dx.doi.org/10.1007/s41870-023-01268-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10163298/
https://www.ncbi.nlm.nih.gov/pubmed/37256029
http://dx.doi.org/10.1007/s41870-023-01268-w

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