Investigating the Efficient Use of Word Embedding with Neural-Topic Models for Interpretable Topics from Short Texts

With the rapid proliferation of social networking sites (SNS), automatic topic extraction from various text messages posted on SNS are becoming an important source of information for understanding current social trends or needs. Latent Dirichlet Allocation (LDA), a probabilistic generative model, is...

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Detalles Bibliográficos
Autores principales: Murakami, Riki, Chakraborty, Basabi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840106/
https://www.ncbi.nlm.nih.gov/pubmed/35161598
http://dx.doi.org/10.3390/s22030852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840106/
https://www.ncbi.nlm.nih.gov/pubmed/35161598
http://dx.doi.org/10.3390/s22030852

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